WO2014190851A1 - 一种视频监控方法、装置及系统 - Google Patents

一种视频监控方法、装置及系统 Download PDF

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Publication number
WO2014190851A1
WO2014190851A1 PCT/CN2014/077115 CN2014077115W WO2014190851A1 WO 2014190851 A1 WO2014190851 A1 WO 2014190851A1 CN 2014077115 W CN2014077115 W CN 2014077115W WO 2014190851 A1 WO2014190851 A1 WO 2014190851A1
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WO
WIPO (PCT)
Prior art keywords
alarm
client
triggered
intelligent analysis
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2014/077115
Other languages
English (en)
French (fr)
Inventor
汪翰林
王峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huawei Technologies Co Ltd
Original Assignee
Huawei Technologies Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huawei Technologies Co Ltd filed Critical Huawei Technologies Co Ltd
Priority to JP2016515623A priority Critical patent/JP6240968B2/ja
Priority to KR1020157032449A priority patent/KR101743386B1/ko
Priority to EP14803365.7A priority patent/EP2966852B1/en
Publication of WO2014190851A1 publication Critical patent/WO2014190851A1/zh
Priority to US14/943,468 priority patent/US10412345B2/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
    • G08B13/19608—Tracking movement of a target, e.g. by detecting an object predefined as a target, using target direction and or velocity to predict its new position
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19678—User interface

Definitions

  • the present invention relates to the field of security, and in particular, to a video monitoring method, apparatus and system. Background technique
  • a typical video surveillance system includes a monitoring client, a monitoring platform, and a camera.
  • the monitoring client is a graphical user interface that can interact with the user.
  • the monitoring platform is a background service component that can be related to monitoring. Real-time browsing, intelligent analysis and other business functions;
  • the camera is a front-end video collection device for collecting and analyzing real-time images of the current location.
  • the video surveillance system alerts the mobile object that breaks into the perimeter of the pre-configured number by configuring the intelligent analysis rule of the perimeter intrusion, prompting the user to process it.
  • the prior art is linked by the gun ball (that is, deploying a fixed gun machine and a high speed ball machine, the gun machine)
  • the alarm image is captured and immediately linked to the nearest dome camera, and the moving object is closely tracked by the dome camera to achieve partial magnification of the moving object.
  • a typical video surveillance system includes a monitoring client, a monitoring platform, and a camera.
  • the monitoring client is a graphical user interface that can interact with the user.
  • the monitoring platform is a background service component that can be related to monitoring. Real-time browsing, intelligent analysis and other business functions; camera It is a front-end video collection device for collecting and analyzing real-time images of the current location.
  • the video surveillance system provides a warning to the moving object that breaks into the perimeter of the pre-configured number by configuring the intelligent analysis rule of the perimeter intrusion, prompting the user to process.
  • the prior art is linked by the gun ball (that is, deploying a fixed gun machine and a high speed ball machine, the gun machine)
  • the alarm image is captured and immediately linked to the nearest dome camera, and the moving object is closely tracked by the dome camera to achieve partial magnification of the moving object.
  • FIG. 1 is a schematic flowchart of a video monitoring method on a client side according to an embodiment of the present invention
  • FIG. 2 is a schematic flowchart of another video monitoring method on a client side according to an embodiment of the present invention
  • FIG. 3 is a schematic flowchart of a video monitoring method on a monitoring platform side according to an embodiment of the present invention
  • FIG. 4 is a schematic structural diagram of a client according to an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of another client according to an embodiment of the present invention
  • FIG. 6 is a schematic structural diagram of a monitoring platform according to an embodiment of the present invention
  • FIG. 7 is a schematic diagram of another embodiment of the present invention.
  • FIG. 8 is a schematic structural diagram of a monitoring platform according to another embodiment of the present invention;
  • FIG. 9 is a schematic diagram of a video monitoring system according to an embodiment of the present invention.
  • An embodiment of the present invention provides a video monitoring method, which can be implemented by a client. As shown in FIG. 1 and FIG. 2, the video monitoring method includes the following steps:
  • the client obtains an intelligent analysis alarm and at least one track information that triggers the alarm object, and adjusts a user interface window layout according to the intelligent analysis alarm.
  • the foregoing intelligent analysis alarm is triggered when the client or the monitoring platform or the camera determines an intruding object in the monitoring scenario by using an intelligent analysis policy, and the intelligent analysis strategy includes but is not limited to: a perimeter intrusion detection strategy, There are four types of line detection strategies, flaw detection strategies, and sudden detection strategies, just to illustrate them.
  • the user before implementing step 101 of the embodiment of the present invention, the user also needs to set a suitable window layout in the client (such as "4+ window layout, the specific layout has a large pane above, and there are four below. Small panes of the same size, four of which are used as anomalous scene monitoring, and a large pane above is used as a tracking alarm object when a perimeter intrusion alarm (ie, intelligent analysis alarm) occurs.
  • the user can compare the image of the entire monitoring scene with the image of the moving object at a close distance, thereby better grasping the situation of the monitoring scene, and can process the invading moving object at any time.
  • the user also The above window layout can be adjusted at any time according to the actual application scenario.
  • the client After the client obtains the intelligent analysis alarm, the client starts to adjust the window in the user interface to an appropriate layout, which triggers the triggering of the intelligent analysis alarm.
  • the alarm object is framed by a rectangular frame so that subsequent clients will use a rectangular frame.
  • the alarm is triggered enlarged objects.
  • the foregoing intelligent analysis alarm may be an alarm triggered when the client performs intelligent analysis to determine an invading object in the monitoring scenario, or may be reported by the monitoring platform or the camera when performing intelligent analysis in the monitoring scenario to determine that there is an invading object. Alarm.
  • step 101 includes the following steps:
  • the client triggers an intelligent analysis alarm when the intrusion object is determined in the monitoring scenario according to the intelligent analysis policy configured by the user, and records at least one track information that triggers the alarm object.
  • the client adjusts the layout of the user interface window according to the intelligent analysis alarm.
  • the client first decodes the audio and video stream sent by the camera through the monitoring platform to obtain a real-time video image, and then performs intelligent analysis based on the intelligent analysis strategy based on the decoded real-time video image, if the smart alarm is triggered (ie, when the camera is When there is an intruding moving object in the monitoring scene, an intelligent analysis alarm is generated, and then the client adjusts the window in the user interface to an appropriate layout according to the intelligent analysis alarm, and the triggering alarm object that triggers the intelligent analysis alarm is partially amplified. .
  • the intelligent analysis alarm is triggered when the monitoring platform determines that there is an intrusion object in the monitoring scenario by using an intelligent analysis policy, where the smart analysis policy may be a monitoring platform configured by the user, or may be configured by the user to the client.
  • the client is configured to the monitoring platform.
  • the step 101 includes the following steps:
  • the client receiving and monitoring platform determines the intelligent analysis alarm that is reported when there is an intruding object in the monitoring scenario according to the intelligent analysis policy configured by the user.
  • the client adjusts the layout of the user interface window according to the intelligent analysis alarm.
  • the monitoring platform decodes the audio and video stream sent by the camera to obtain a real-time video image, and then performs intelligent analysis according to the intelligent analysis strategy based on the decoded real-time video image, if the smart alarm is triggered (ie, when the camera is in the monitoring scene range)
  • the smart alarm is triggered (ie, when the camera is in the monitoring scene range)
  • an intelligent analysis alarm is generated and at least one trajectory information for triggering the alarm object is recorded, and reported to the client together or separately.
  • the client analyzes the alarm according to the received intelligent analysis.
  • the window is adjusted to a suitable layout, and the triggering alarm object that triggers the intelligent analysis alarm is locally amplified.
  • the intelligent analysis alarm when the camera determines that there is an invasive object in the monitoring scenario by using an intelligent analysis strategy, where the intelligent analysis strategy can be used
  • the configuration of the user can also be configured by the user to the client, and then the client is configured to the monitoring platform.
  • the monitoring platform is used to configure the intelligent analysis policy to the camera.
  • the specific process is the same as the intelligent analysis process of the above monitoring platform. I won't go into details here.
  • the camera when the camera performs intelligent analysis, the camera can only be a network camera. If the camera does not perform intelligent analysis, it is only used for the collection of video images, that is, only one camera is deployed in the surveillance scene. It realizes close tracking of moving objects in the monitoring scene and reduces the cost.
  • the specific camera can be either a network camera or an analog camera.
  • the client locally enlarges at least one triggered alarm object according to at least one movement track information of the triggered alarm object.
  • step 102 specifically includes the following steps:
  • the client acquires at least one location information of the triggered alarm object from the at least one trajectory information that triggers the alarm object.
  • the client After acquiring the intelligent analysis alarm, the client starts the triggering alarm object tracking function, and the at least one trajectory information of the triggered alarm object is acquired by the camera in real time, and the client is from at least one trajectory information that triggers the alarm object.
  • the location information of the triggered alarm object is extracted.
  • the small window of the client may indicate the specific location of the triggered alarm object through a rectangular frame.
  • the client acquires the current real-time image, and matches the real-time image with the location information of the at least one triggered alarm object to find the location of the at least one triggered alarm object in the real-time image.
  • the client receives the audio and video stream sent by the camera through the monitoring platform, and the client analyzes the audio and video stream to display the real-time image corresponding to the audio and video stream, and matches the real-time image with at least one location information of the triggered alarm object, thereby finding At least one triggers the location of the alerting object in the live image.
  • the client locally enlarges at least one triggering alarm object centering on at least one position of the triggering alarm object in the real-time image.
  • the method further includes:
  • the client locally enlarges the at least one triggered alarm object according to the at least one trajectory information of the triggered alarm object, so that at least one triggered alarm object is always displayed in the center of the video screen corresponding to the user interface window.
  • the client decodes the audio and video stream reported by the camera itself or through the monitoring platform to obtain a real-time video image, and then compares at least one location information of the triggered alarm object with the real-time video image, where the real-time video image is compared. Finding a position of the at least one triggering alarm object in the real-time video image, and then locally amplifying the position of the at least one triggering alarm object in the real-time video image. If the "4+1" window layout is applied, the position of the alarm object in the small pane can be represented by a rectangular box, so that the details around the moving object can be seen, and the image in the rectangular frame can be enlarged and displayed. Easy to view in the large pane above.
  • the client continues to acquire the track information of the moving object, so that the client can continue to zoom in on the moving object as a center, and display the partially enlarged image in the upper large pane, so that the moving object is always displayed.
  • the user can continue to view the entire monitoring scene according to the video in the lower pane.
  • the client simultaneously acquires or receives the trajectory information of multiple triggered alarm objects reported by the monitoring platform or the camera, and simultaneously displays the alarm objects by using multiple panes.
  • the center performs a partially enlarged image.
  • the client adjusts the user interface window layout by using an intelligent analysis alarm triggered by the client itself or the monitoring platform or the camera to determine an invading object in the monitoring scenario according to the intelligent analysis policy, and Obtaining at least one trajectory information for triggering an alarm object, thereby locally amplifying at least one triggering alarm object according to at least one movement trajectory information of the triggering alarm object, the invention only needs to deploy one camera, thereby avoiding deploying two cameras, thereby causing The cost of wastage also increases the efficiency of local amplification of the triggered alarm object.
  • An embodiment of the present invention provides a video monitoring method.
  • the video monitoring method specifically includes the following steps:
  • the monitoring platform determines that the monitoring scenario is determined according to the intelligent analysis policy configured by the user.
  • an intelligent analysis alarm is triggered and reported to the client, and at least one track information that triggers the alarm object is recorded.
  • the foregoing intelligent analysis strategies include, but are not limited to, perimeter intrusion detection strategy, squall line detection strategy, sputum detection strategy, and sudden occurrence detection strategy, which are merely exemplified herein.
  • the intelligent analysis policy may be a monitoring platform configured by the user, or may be configured by the user to the client, and then configured by the client to the monitoring platform.
  • the monitoring platform sends the intelligent analysis alarm and the at least one trajectory information of the triggered alarm object to the client, so that the client adjusts the layout of the user interface window according to the intelligent analysis alarm, and triggers at least one trigger by using at least one movement trajectory information that triggers the alarm object.
  • the alarm object is partially enlarged.
  • the monitoring platform sends the smart analysis alarm triggered by the intrusion object in the monitoring scenario according to the intelligent analysis strategy, and the track information of the at least one triggered alarm object recorded to the client, so as to Adjusting the layout of the user interface window according to the function analysis alarm on the client, and locally amplifying the at least one triggering alarm object according to the movement trajectory information of the at least one triggering alarm object, since the invention only needs to deploy one camera, thereby avoiding deployment of two The cost of the camera, and the waste of the local amplification of the triggering alarm object is also improved.
  • the embodiment of the present invention provides a client.
  • the client is used to implement the video monitoring method.
  • the client 3 includes: an information acquiring module 31, an interface adjusting module 32, and A partial amplification module 33, wherein:
  • the information obtaining module 31 is configured to acquire an intelligent analysis alarm and at least one trajectory information of the triggered alarm object, where the intelligent analysis alarm is triggered by the client or the monitoring platform or the camera determining the invading object in the monitoring scenario through the intelligent analysis strategy. .
  • the interface adjustment module 32 is configured to adjust a user interface window layout according to the intelligent analysis alarm acquired by the information acquisition module 31.
  • the partial amplification module 33 is configured to perform partial amplification on the at least one triggered alarm object according to the movement trajectory information of the at least one triggering alarm object acquired by the information acquisition module 31.
  • the information acquiring module 31 is further configured to continue to acquire at least one track information that triggers the alarm object after the at least one triggered alarm object moves.
  • the partial amplification module 33 is further configured to acquire at least one touch according to the information acquisition module 31.
  • the trajectory information of the alarm object is partially amplified by the at least one triggering alarm object, so that at least one triggering alarm object is always displayed at the center of the video screen of the corresponding window of the user interface.
  • the partial amplification module 33 includes: an information acquisition unit 331 and a partial amplification unit 332, where:
  • the information obtaining unit 331 is configured to obtain at least one location information of the triggered alarm object from the trajectory information of the at least one triggered alarm object.
  • the information acquiring unit 331 is further configured to acquire a current real-time image, and match the real-time image with the location information of the at least one triggered alarm object to find a location of the at least one triggered alarm object in the real-time image.
  • the local amplifying unit 332 is configured to locally enlarge the at least one triggering alarm object centering on the position of the at least one triggering alarm object in the real-time image.
  • the intrusion object is triggered.
  • the information obtaining module 31 is specifically configured to: when the intrusion object is determined in the monitoring scenario according to the intelligent analysis policy configured by the user, trigger an intelligent analysis alarm, and record at least one trajectory information of the triggered alarm object, so that the interface adjustment module 32 performs the intelligent analysis.
  • the alarm adjusts the layout of the user interface window.
  • the intrusion object is triggered.
  • the information obtaining module 31 is specifically configured to: when the receiving monitoring platform determines, according to the intelligent analysis policy configured by the user, the intelligent analysis alarm that is reported when there is an intrusion object in the monitoring scenario; and the at least one triggered alarm object acquired by the receiving monitoring platform after generating the intelligent analysis alarm
  • the trajectory information is used to facilitate the interface adjustment module 32 to adjust the user interface window layout according to the intelligent analysis alarm.
  • the client provided by the embodiment of the present invention adjusts the layout of the user interface window according to the intelligent analysis alarm triggered by the client itself or the monitoring platform or the camera according to the intelligent analysis policy, when the intrusion object is determined in the monitoring scenario, and obtains At least one trajectory information that triggers an alarm object, thereby locally amplifying at least one triggering alarm object according to at least one movement trajectory information of the triggering alarm object, and the invention only needs to deploy one The camera, thereby avoiding the cost of deploying two cameras, also increases the efficiency of local amplification of the triggered alarm object.
  • the embodiment of the present invention provides a monitoring platform.
  • the monitoring platform is used to implement the video monitoring method.
  • the monitoring platform 4 includes: an information acquiring module 41 and an information sending module 42, where:
  • the information obtaining module 41 is configured to trigger an intelligent analysis alarm when the intrusion object is determined in the monitoring scenario according to the intelligent analysis policy configured by the user, and record at least one track information that triggers the alarm object.
  • the information sending module 42 is configured to send the smart analysis alarm acquired by the information acquiring module 41 and the at least one track information of the triggered alarm object to the client, so that the client adjusts the user interface window layout according to the intelligent analysis alarm, and passes at least one triggered alarm.
  • the movement trajectory information of the object locally enlarges at least one of the triggering alarm objects.
  • the monitoring platform provided by the embodiment of the present invention, the monitoring platform sends the intelligent analysis alarm triggered by the intrusion object in the monitoring scenario according to the intelligent analysis strategy, and the track information of the at least one triggered alarm object recorded to the client is sent to the client, so as to facilitate
  • the client adjusts the layout of the user interface window according to the function analysis alarm, and locally enlarges at least one triggering alarm object according to the movement trajectory information of the at least one triggering alarm object. Since the present invention only needs to deploy one camera, thereby avoiding deploying two The cost of the camera, which is also wasted, also increases the efficiency of local amplification of the object that triggers the alarm.
  • the client provided by the embodiment of the present invention, as shown in FIG. 7, the client 5 includes: a processor 51 and a receiver 52, wherein:
  • the processor 51 is configured to acquire an intelligent analysis alarm and at least one trajectory information of the triggered alarm object, and adjust a user interface window layout according to the intelligent analysis alarm, where the intelligent analysis alarm is monitored by the client or the monitoring platform or the camera through an intelligent analysis strategy. Triggered when an invading object is determined in the scene.
  • the processor 51 is further configured to perform partial amplification on the at least one triggered alarm object according to the movement trajectory information of the at least one triggered alarm object.
  • the processor 51 is further configured to: after the at least one triggered alarm object moves, obtain at least one trajectory information that triggers the alarm object; and configured to perform, according to the trajectory information of the at least one triggered alarm object, the at least one triggered alarm object. Partial magnification, so that One less triggered alarm object is always displayed in the center of the video screen corresponding to the user interface window.
  • the processor 51 is specifically configured to: acquire at least one location information of the triggered alarm object from the trajectory information of the at least one triggered alarm object; acquire the current real-time image, and obtain the real-time image and the location information of the at least one triggered alarm object Performing a match to find a position of at least one triggering alarm object in the real-time image; and locally amplifying at least one triggering alarm object centering on at least one position of the triggering alarm object in the real-time image.
  • the intrusion object is triggered.
  • the processor 51 is further configured to: when the intrusion object is determined in the monitoring scenario according to the intelligent analysis policy configured by the user, trigger an intelligent analysis alarm, and record at least one track information that triggers the alarm object.
  • the processor 51 is further configured to adjust a user interface window layout according to the intelligent analysis alarm.
  • the intelligent analysis alarm is triggered by the monitoring platform in the monitoring scene through the intelligent analysis strategy, the intrusion object is triggered.
  • the receiver 52 is configured to receive, by the monitoring platform, an intelligent analysis alarm that is reported when there is an intruding object in the monitoring scenario according to an intelligent analysis policy configured by the user.
  • the receiver 52 is further configured to receive, by the monitoring platform, at least one trajectory information of the triggered alarm object acquired after the smart analysis alarm is generated.
  • the processor 51 is further configured to adjust a user interface window layout according to the intelligent analysis alarm intelligent analysis alarm.
  • the client provided by the embodiment of the present invention adjusts the layout of the user interface window according to the intelligent analysis alarm triggered by the client itself or the monitoring platform or the camera according to the intelligent analysis policy, when the intrusion object is determined in the monitoring scenario, and obtains At least one trajectory information for triggering an alarm object, thereby locally amplifying at least one triggering alarm object according to at least one movement trajectory information of the triggering alarm object, the invention only needs to deploy one camera, thereby avoiding deployment of two cameras, thereby causing Cost waste also increases the efficiency of local amplification of the triggered alarm object.
  • the monitoring platform 6 includes: a transmitter 61 and a processor 62, where: The processor 62 is configured to trigger an intelligent analysis alarm when the intrusion object is determined in the monitoring scenario according to the intelligent analysis policy configured by the user, and record at least one track information that triggers the alarm object.
  • the transmitter 61 is configured to send the smart analysis alarm and the at least one trajectory information of the triggered alarm object to the client, so that the client adjusts the user interface window layout according to the intelligent analysis alarm, and at least one movement trajectory information that triggers the alarm object is at least A triggering alarm object is locally amplified.
  • the monitoring platform provided by the embodiment of the present invention, the monitoring platform sends the intelligent analysis alarm triggered by the intrusion object in the monitoring scenario according to the intelligent analysis strategy, and the track information of the at least one triggered alarm object recorded to the client is sent to the client, so as to facilitate
  • the client adjusts the layout of the user interface window according to the intelligent analysis alarm, and locally enlarges at least one triggered alarm object according to the movement trajectory information of the at least one triggered alarm object. Since the present invention only needs to deploy one camera, thereby avoiding deployment of two The cost of the camera, which is also wasted, also increases the efficiency of local amplification of the object that triggers the alarm.
  • the video surveillance system 7 includes: a client 71, a monitoring platform 72, and a camera 73.
  • the client 71 is any of the clients described above, and the monitoring is performed.
  • the platform 72 is any of the above monitoring platforms, and the camera 73 is any of the above cameras.
  • the video surveillance system is divided into three parts: a client, a monitoring platform, and a camera.
  • the client and the monitoring platform may be considered for integration.
  • the client adjusts the user interface window layout by using an intelligent analysis alarm triggered by the client itself or the monitoring platform or the camera to determine an invading object in the monitoring scenario according to the intelligent analysis policy, and Obtaining at least one trajectory information for triggering an alarm object, thereby locally amplifying at least one triggering alarm object according to at least one trajectory information of the triggering alarm object, since the invention only needs to deploy one camera, thereby avoiding deploying two cameras, The resulting cost waste also increases the efficiency of local amplification of the triggered alarm object.
  • the foregoing storage medium includes: a medium that can store program codes, such as a ROM, a RAM, a magnetic disk, or an optical disk.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Closed-Circuit Television Systems (AREA)
  • Alarm Systems (AREA)
  • Burglar Alarm Systems (AREA)
  • Emergency Alarm Devices (AREA)

Abstract

本发明的实施例公开了一种视频监控方法、装置及系统，涉及安防领域，能够实现监控场景中的移动物体的局部放大。该方法包括：客户端获取智能分析告警及至少一个触发告警物体的轨迹信息，并根据智能分析告警调整用户界面窗口布局，其中，智能分析告警是客户端或监控平台或摄像机通过智能分析策略在监控场景中判定有入侵物体时所触发的；客户端根据至少一个触发告警物体的移动轨迹信息对至少一个触发告警物体进行局部放大。本发明应用于重要场所的视频监控。

Description

一种视频监控方法、 装置及系统 本申请要求于 2013 年 5 月 28 日提交中国专利局、 申请号为 201310203846.0、 发明名称为"一种视频监控方法、 装置及系统，，的中国专 利申请的优先权， 其全部内容通过引用结合在本申请中。
技术领域
本发明涉及安防领域， 尤其涉及一种视频监控方法、 装置及系统。 背景技术
近年来， 为了提高一些重要场所 （如机场） 的安全性， 通常会部 署视频监控系统来对这些重要场所进行监控。 而一个典型的视频监控 系统包括监控客户端、 监控平台和摄像机， 其中， 监控客户端为图形 化的用户界面， 可以实现与用户之间的交互； 监控平台为后台服务组 件， 能够完成与监控相关的实时浏览、 智能分析等业务功能； 摄像机 为前段视频釆集设备， 用于釆集和分析当前场所的实时图像。 视频监 控系统通过配置周界入侵的智能分析规则， 对于闯入事先配置号的周 界范围的移动物体进行警告， 提示用户进行处理。 在监控场景的范围 较大， 使得移动物体在画面中占的比例较小， 细节部分看不清楚时， 现有技术中通过枪球联动 （即部署一个固定枪机与一个高速球机， 枪 机捕捉到报警画面， 立即联动到最近的球机， 通过球机对移动物体进 行近距离跟踪） 来实现移动物体的局部放大。
但是， 在实现上述视频监控的过程中， 发明人发现要实现枪球联动 需要部署两个摄像机， 部署成本较高， 同时安装调试的工作量也比较大。 而且枪球联动中的枪机和球机都只能部署模拟摄像机， 对于网络摄像机 则无法实现枪球联动， 从而无法实现移动物体的局部放大。
发明内容
近年来， 为了提高一些重要场所 （如机场） 的安全性， 通常会部 署视频监控系统来对这些重要场所进行监控。 而一个典型的视频监控 系统包括监控客户端、 监控平台和摄像机， 其中， 监控客户端为图形 化的用户界面， 可以实现与用户之间的交互； 监控平台为后台服务组 件， 能够完成与监控相关的实时浏览、 智能分析等业务功能； 摄像机 为前段视频釆集设备， 用于釆集和分析当前场所的实时图像。 视频监 控系统通过配置周界入侵的智能分析规则， 对于闯入事先配置号的周 界范围的移动物体进行警告， 提示用户进行处理。 在监控场景的范围 较大， 使得移动物体在画面中占的比例较小， 细节部分看不清楚时， 现有技术中通过枪球联动 （即部署一个固定枪机与一个高速球机， 枪 机捕捉到报警画面， 立即联动到最近的球机， 通过球机对移动物体进 行近距离跟踪） 来实现移动物体的局部放大。
但是， 在实现上述视频监控的过程中， 发明人发现要实现枪球联动 需要部署两个摄像机， 部署成本较高， 同时安装调试的工作量也比较大。 而且枪球联动中的枪机和球机都只能部署模拟摄像机， 对于网络摄像机 则无法实现枪球联动， 从而无法实现移动物体的局部放大。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案， 下面 将对实施例或现有技术描述中所需要使用的附图作简单地介绍， 显而 易见地， 下面描述中的附图仅仅是本发明的一些实施例， 对于本领域 普通技术人员来讲， 在不付出创造性劳动的前提下， 还可以根据这些 附图获得其他的附图。
图 1 为本发明的实施例提供的在客户端侧的一种视频监控方法的 流程示意图；
图 2 为本发明的实施例提供的在客户端侧的另一种视频监控方法 的流程示意图；
图 3 为本发明的实施例提供的在监控平台侧的一种视频监控方法 的流程示意图；
图 4为本发明的实施例提供的一种客户端的结构示意图；
图 5为本发明的实施例提供的另一种客户端的结构示意图； 图 6为本发明的实施例提供的一种监控平台的结构示意图； 图 7为本发明的另一实施例提供的一种客户端的结构示意图； 图 8为本发明的另一实施例提供的一种监控平台的结构示意图； 图 9为本发明的实施例提供的一种视频监控系统的示意图。 具体实施方式
下面将结合本发明实施例中的附图， 对本发明实施例中的技术方 案进行清楚、 完整地描述， 显然， 所描述的实施例仅仅是本发明一部 分实施例， 而不是全部的实施例。 基于本发明中的实施例， 本领域普 通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例， 都属于本发明保护的范围。
本发明的实施例提供一种视频监控方法， 可以由客户端实现， 如 图 1、 2所示， 该视频监控方法包括以下步骤：
101、 客户端获取智能分析告警及至少一个触发告警物体的轨迹信 息， 并根据该智能分析告警调整用户界面窗口布局。
其中， 上述的智能分析告警是客户端或监控平台或摄像机通过智 能分析策略在监控场景中判定有入侵物体时所触发的， 而其中的智能 分析策略包括但不限于： 周界入侵检测策略、 绊线检测策略、 徘徊检 测策略和突然出现检测策略这四种， 这里只是对其进行举例说明。
可选的， 在实现本发明的实施例的步骤 101 之前， 还需要用户在 客户端中设置合适的窗口布局 （如 "4+ 窗口布局， 具体布局为上方 有一个大窗格， 下方有四个相同大小的小窗格， 其中四个小窗格作为 曰常的场景监控使用， 而上方的一个大窗格作为当发生周界入侵告警 (即智能分析告警） 时， 跟踪触发告警物体使用） ， 使得用户可以对 比整个监控场景的图像及对移动物体近距离跟踪的图像， 从而更好的 实现对监控场景情况的掌握， 可以随时对入侵移动物体进行处理。 此 夕卜， 在具体应用时用户还可以根据实际应用场景随时对上述的窗口布 局进行调整。 具体的， 在客户端获取到智能分析告警后， 客户端边开 始将用户界面中的窗口调整到合适的布局， 将触发智能分析告警的触 发告警物体用矩形框框住， 以便于后续客户端将用矩形框框住的触发 告警物体进行局部放大。
具体的， 上述的智能分析告警可以是客户端在监控场景中做智能 分析判定有入侵物体时所触发的告警， 也可以是监控平台或摄像机在 监控场景中做智能分析判定有入侵物体时所上报的告警。
可选的， 当智能分析告警是客户端通过智能分析策略在监控场景 中判定有入侵物体时所触发的， 其中， 该智能分析策略时用户配置的， 具体的， 步骤 101 包括如下步骤：
101al、 客户端根据用户配置的智能分析策略在监控场景中判定有 入侵物体时， 触发智能分析告警， 并记录至少一个触发告警物体的轨 迹信息。
101a2、 客户端根据智能分析告警调整用户界面窗口布局。
具体的， 客户端首先将摄像机通过监控平台所发送的音视频流进 行解码， 得到实时视频图像， 然后基于解码后的实时视频图像根据智 能分析策略做智能分析， 若触发智能告警 （即当摄像机的监控场景范 围内有入侵移动物体时） ， 则产生智能分析告警， 然后客户端再根据 该智能分析告警将用户界面中的窗口调整到合适的布局， 将触发智能 分析告警的触发告警物体进行局部放大。
可选的， 当智能分析告警是监控平台通过智能分析策略在监控场 景中判定有入侵物体时所触发的， 其中， 该智能分析策略可以是用户 配置的监控平台， 也可以是用户配置给客户端， 客户端再配置给监控 平台， 具体的， 步骤 101具体包括如下步骤：
101bl、 客户端接收监控平台根据用户配置的智能分析策略判定监 控场景中有入侵物体时， 上报的智能分析告警。
101b2、 客户端接收监控平台在生成了智能分析告警之后获取的至 少一个触发告警物体的轨迹信息。
101b3、 客户端根据智能分析告警调整用户界面窗口布局。
具体的， 监控平台将摄像机所发送的音视频流进行解码， 得到实 时视频图像， 然后基于解码后的实时视频图像根据智能分析策略做智 能分析， 若触发智能告警 （即当摄像机的监控场景范围内有入侵移动 物体时） ， 则产生智能分析告警并记录至少一个触发告警物体的轨迹 信息， 将其一起或分别上报给客户端， 最后， 客户端再根据接收到的 智能分析告警将用户界面中的窗口调整到合适的布局， 将触发智能分 析告警的触发告警物体进行局部放大。
可选的， 当智能分析告警是摄像机通过智能分析策略在监控场景 中判定有入侵物体时所生成的时候， 其中， 该智能分析策略可以是用 户配置的， 也可以是用户配置给客户端， 客户端再配置给监控平台， 最后， 再利用监控平台将智能分析策略配置给摄像机， 具体的过程与 上述的监控平台做智能分析的过程相同， 这里不再赘述。
但是， 需要说明的是， 当摄像机做智能分析时， 该摄像机只能是 网络摄像机， 若摄像机不做智能分析， 只是用于视频图像的釆集时， 即监控场景中仅部署一个摄像机， 就可以实现对监控场景内移动物体 的近距离跟踪， 降低了成本， 具体的该摄像机既可以是网络摄像机， 也可以是模拟摄像机。
102、 客户端根据至少一个触发告警物体的移动轨迹信息对至少一 个触发告警物体进行局部放大。
可选的， 如图 2所示， 步骤 102具体包括如下步骤：
102a、客户端从至少一个触发告警物体的轨迹信息中获取至少一个 触发告警物体的位置信息。
具体的， 客户端在获取到智能分析告警之后， 便启动触发告警物 体跟踪功能， 则该至少一个触发告警物体的轨迹信息是摄像机实时跟 踪获取的， 客户端从至少一个触发告警物体的轨迹信息中提取出触发 告警物体的位置信息， 具体的， 在客户端的小窗口可以通过矩形框来 表示触发告警物体的具体位置。
102b , 客户端获取当前的实时图像， 并将实时图像与至少一个触 发告警物体的位置信息进行匹配， 找到至少一个触发告警物体在实时 图像中的位置。
具体的、 客户端接收摄像机通过监控平台发送的音视频流客户端 通过解析音视频流来显示音视频流对应的实时图像， 并将实时图像与 至少一个触发告警物体的位置信息进行匹配， 从而找到至少一个触发 告警物体在实时图像中的位置。
102c、客户端以至少一个触发告警物体在实时图像中的位置为中心 将至少一个触发告警物体进行局部放大。
可选的， 在步骤 102之后还包括：
103a,在上述的至少一个触发告警物体移动后， 继续获取至少一个 触发告警物体的轨迹信息。
103b , 客户端根据至少一个触发告警物体的轨迹信息对至少一个 触发告警物体进行局部放大， 使得至少一个触发告警物体始终显示在 用户界面对应窗口的视频画面中心。
具体的， 客户端将摄像机自己上报的或通过监控平台上报的音视 频流进行解码得到实时视频图像， 然后将至少一个触发告警物体的位 置信息与该实时视频图像进行对比， 在该实时视频图像中找到该至少 一个触发告警物体在该实时视频图像中的位置， 进而以该至少一个触 发告警物体在该实时视频图像中的位置为中心进行局部放大。 若应用 "4+1 " 窗口布局， 便可以将小窗格中触发告警物体的位置用矩形框来 表示， 这样便可以看清移动物体周围的细节， 同时将该矩形框中的图 像进行放大显示上方的大窗格中方便查看。 物体移动后， 客户端继续 获取移动物体的轨迹信息， 使得客户端可以继续以移动物体为中心进 行局部放大， 并将局部放大的图像显示在上方的大窗格中， 从而使得 该移动物体始终显示在画面的中心位置， 同时用户可以根据下方窗格 中的视频继续查看整个监控场景。
此外， 若监控场景中检测到多个触发告警物体时， 则客户端同时 获取或接收监控平台或摄像机上报的多个触发告警物体的轨迹信息， 并使用多个窗格同时显示以触发告警物体为中心进行局部放大的图 像。
本发明的实施例提供的视频监控方法， 客户端通过根据通过客户 端自身或监控平台或摄像机根据智能分析策略在监控场景中判定有入 侵物体时所触发的智能分析告警调整用户界面窗口布局， 并获取至少 一个触发告警物体的轨迹信息， 从而根据至少一个触发告警物体的移 动轨迹信息来对至少一个触发告警物体进行局部放大， 本发明只需部 署一个摄像机， 从而避免了部署两个摄像机， 而造成的成本浪费， 也 提高了对触发告警物体的局部放大的效率。
本发明的实施例提供一种视频监控方法， 在监控平台侧， 如图 3 所示， 该视频监控方法具体包括如下步骤：
201、 监控平台根据用户配置的智能分析策略在监控场景中判定有 入侵物体时， 触发智能分析告警并上报给客户端， 并记录至少一个触 发告警物体的轨迹信息。
其中， 上述的智能分析策略包括但不限于： 周界入侵检测策略、 绊线检测策略、 徘徊检测策略和突然出现检测策略这四种 , 这里只是 对其进行举例说明。 具体的， 该智能分析策略可以是用户配置的监控 平台， 也可以是用户配置给客户端， 客户端再配置给监控平台。
202、 监控平台将智能分析告警及至少一个触发告警物体的轨迹信 息发送至客户端， 以便客户端根据智能分析告警调整用户界面窗口布 局， 并通过至少一个触发告警物体的移动轨迹信息对至少一个触发告 警物体进行局部放大。
本发明的实施例提供的视频监控方法， 监控平台将根据智能分析 策略在监控场景中判定有入侵物体时所触发的智能分析告警和记录的 至少一个触发告警物体的轨迹信息发送至客户端， 以便于客户端根据 职能分析告警调整用户界面窗口布局， 并根据该至少一个触发告警物 体的移动轨迹信息来对至少一个触发告警物体进行局部放大， 由于本 发明只需部署一个摄像机， 从而避免了部署两个摄像机， 而造成的成 本浪费， 也提高了对触发告警物体的局部放大的效率。
本发明的实施例提供一种客户端， 如图 4、 5所示， 该客户端用于 实现上述的视频监控方法， 具体的， 该客户端 3 包括： 信息获取模块 31、 界面调整模块 32和局部放大模块 33 , 其中：
信息获取模块 31 , 用于获取智能分析告警及至少一个触发告警物 体的轨迹信息， 其中， 智能分析告警是客户端或监控平台或摄像机通 过智能分析策略在监控场景中判定有入侵物体时所触发的。
界面调整模块 32 ,用于根据信息获取模块 31获取的智能分析告警 调整用户界面窗口布局。
局部放大模块 33 ,用于根据信息获取模块 31获取的至少一个触发 告警物体的移动轨迹信息对至少一个触发告警物体进行局部放大。
可选的， 信息获取模块 31 , 还用于在至少一个触发告警物体移动 后， 继续获取至少一个触发告警物体的轨迹信息。
局部放大模块 33 ,还用于根据信息获取模块 31获取的至少一个触 发告警物体的轨迹信息对至少一个触发告警物体进行局部放大， 使得 至少一个触发告警物体始终显示在用户界面对应窗口的视频画面中 心。
可选的， 如图 5所示， 局部放大模块 33 包括： 信息获取单元 331 和局部放大单元 332 , 其中：
信息获取单元 331 ,用于从至少一个触发告警物体的轨迹信息中获 取至少一个触发告警物体的位置信息。
信息获取单元 331 , 还用于获取当前的实时图像， 并将实时图像与 至少一个触发告警物体的位置信息进行匹配， 找到至少一个触发告警 物体在实时图像中的位置。
局部放大单元 332 ,用于以至少一个触发告警物体在实时图像中的 位置为中心将至少一个触发告警物体进行局部放大。
可选的， 当智能分析告警是客户端通过智能分析策略在监控场景 中判定有入侵物体时所触发的。
信息获取模块 31具体用于： 根据用户配置的智能分析策略在监控 场景中判定有入侵物体时， 触发智能分析告警， 并记录至少一个触发 告警物体的轨迹信息， 以便于界面调整模块 32根据智能分析告警调整 用户界面窗口布局。
可选的， 当智能分析告警是监控平台通过智能分析策略在监控场 景中判定有入侵物体时所触发的。
信息获取模块 31具体用于： 接收监控平台根据用户配置的智能分 析策略判定监控场景中有入侵物体时， 上报的智能分析告警； 接收监 控平台在生成了智能分析告警之后获取的至少一个触发告警物体的轨 迹信息， 以便于界面调整模块 32用于根据智能分析告警调整用户界面 窗口布局。
本发明的实施例提供的客户端， 客户端通过根据通过客户端自身 或监控平台或摄像机根据智能分析策略在监控场景中判定有入侵物体 时所触发的智能分析告警调整用户界面窗口布局， 并获取至少一个触 发告警物体的轨迹信息， 从而根据至少一个触发告警物体的移动轨迹 信息来对至少一个触发告警物体进行局部放大， 本发明只需部署一个 摄像机， 从而避免了部署两个摄像机， 而造成的成本浪费， 也提高了 对触发告警物体的局部放大的效率。
本发明的实施例提供一种监控平台， 如图 6 所示， 该监控平台用 于实现上述的视频监控方法， 具体的， 该监控平台 4 包括： 信息获取 模块 41和信息发送模块 42 , 其中：
信息获取模块 41 , 用于根据用户配置的智能分析策略在监控场景 中判定有入侵物体时， 触发智能分析告警， 并记录至少一个触发告警 物体的轨迹信息。
信息发送模块 42 ,用于将信息获取模块 41获取的智能分析告警及 至少一个触发告警物体的轨迹信息发送至客户端， 以便客户端根据智 能分析告警调整用户界面窗口布局， 并通过至少一个触发告警物体的 移动轨迹信息对至少一个触发告警物体进行局部放大。
本发明的实施例提供的监控平台， 监控平台将根据智能分析策略 在监控场景中判定有入侵物体时所触发的智能分析告警和记录的至少 一个触发告警物体的轨迹信息发送至客户端， 以便于客户端根据职能 分析告警调整用户界面窗口布局， 并根据该至少一个触发告警物体的 移动轨迹信息来对至少一个触发告警物体进行局部放大， 由于本发明 只需部署一个摄像机， 从而避免了部署两个摄像机， 而造成的成本浪 费， 也提高了对触发告警物体的局部放大的效率。
本发明的实施例提供的客户端， 如图 7所示， 该客户端 5 包括： 处理器 51和接收器 52 , 其中：
处理器 51 , 用于获取智能分析告警及至少一个触发告警物体的轨 迹信息， 并根据智能分析告警调整用户界面窗口布局， 其中， 智能分 析告警是客户端或监控平台或摄像机通过智能分析策略在监控场景中 判定有入侵物体时所触发的。
处理器 51 , 还用于根据至少一个触发告警物体的移动轨迹信息对 至少一个触发告警物体进行局部放大。
可选的， 处理器 51 , 还用于在至少一个触发告警物体移动后， 继 续获取至少一个触发告警物体的轨迹信息； 及用于根据至少一个触发 告警物体的轨迹信息对至少一个触发告警物体进行局部放大， 使得至 少一个触发告警物体始终显示在用户界面对应窗口的视频画面中心。 可选的， 处理器 51具体用于： 从至少一个触发告警物体的轨迹信 息中获取至少一个触发告警物体的位置信息； 获取当前的实时图像， 并将实时图像与至少一个触发告警物体的位置信息进行匹配， 找到至 少一个触发告警物体在实时图像中的位置； 以至少一个触发告警物体 在实时图像中的位置为中心将至少一个触发告警物体进行局部放大。
可选的， 当智能分析告警是客户端通过智能分析策略在监控场景 中判定有入侵物体时所触发的。
处理器 51 , 还用于根据用户配置的智能分析策略在监控场景中判 定有入侵物体时， 触发智能分析告警， 并记录至少一个触发告警物体 的轨迹信息。
处理器 51 , 还用于根据智能分析告警调整用户界面窗口布局。 可选的， 当智能分析告警是监控平台通过智能分析策略在监控场 景中判定有入侵物体时所触发的。
接收器 52 , 用于接收监控平台根据用户配置的智能分析策略判定 监控场景中有入侵物体时， 上报的智能分析告警。
接收器 52 , 还用于接收监控平台在生成了智能分析告警之后获取 的至少一个触发告警物体的轨迹信息。
处理器 51 , 还用于根据智能分析告警智能分析告警调整用户界面 窗口布局。
本发明的实施例提供的客户端， 客户端通过根据通过客户端自身 或监控平台或摄像机根据智能分析策略在监控场景中判定有入侵物体 时所触发的智能分析告警调整用户界面窗口布局， 并获取至少一个触 发告警物体的轨迹信息， 从而根据至少一个触发告警物体的移动轨迹 信息来对至少一个触发告警物体进行局部放大， 本发明只需部署一个 摄像机， 从而避免了部署两个摄像机， 而造成的成本浪费， 也提高了 对触发告警物体的局部放大的效率。
本发明的实施例提供一种监控平台， 如图 8 所示， 该监控平台 6 包括： 发射机 61和处理器 62 , 其中： 处理器 62 , 用于根据用户配置的智能分析策略在监控场景中判定 有入侵物体时， 触发智能分析告警， 并记录至少一个触发告警物体的 轨迹信息。
发射机 61 , 用于将智能分析告警及至少一个触发告警物体的轨迹 信息发送至客户端， 以便客户端根据智能分析告警调整用户界面窗口 布局， 并通过至少一个触发告警物体的移动轨迹信息对至少一个触发 告警物体进行局部放大。
本发明的实施例提供的监控平台， 监控平台将根据智能分析策略 在监控场景中判定有入侵物体时所触发的智能分析告警和记录的至少 一个触发告警物体的轨迹信息发送至客户端， 以便于客户端根据智能 分析告警调整用户界面窗口布局， 并根据该至少一个触发告警物体的 移动轨迹信息来对至少一个触发告警物体进行局部放大， 由于本发明 只需部署一个摄像机， 从而避免了部署两个摄像机， 而造成的成本浪 费， 也提高了对触发告警物体的局部放大的效率。
本发明的实施例提供一种视频监控系统， 如图 9 所示， 该视频监 控系统 7包括： 客户端 71、 监控平台 72和摄像机 73 , 该客户端 71为 上述的任一客户端， 该监控平台 72为上述的任一监控平台， 该摄像机 73为上述的任一摄像机。
具体的， 视频监控系统划分为客户端、 监控平台和摄像机这三部 分， 而在具体实现时可以考虑将客户端与监控平台进行合并。
本发明的实施例提供的视频监控系统， 客户端通过根据通过客户 端自身或监控平台或摄像机根据智能分析策略在监控场景中判定有入 侵物体时所触发的智能分析告警调整用户界面窗口布局， 并获取至少 一个触发告警物体的轨迹信息， 从而根据至少一个触发告警物体的移 动轨迹信息来对至少一个触发告警物体进行局部放大， 由于本发明只 需部署一个摄像机， 从而避免了部署两个摄像机， 而造成的成本浪费， 也提高了对触发告警物体的局部放大的效率。
本领域普通技术人员可以理解： 实现上述方法实施例的全部或部 分步骤可以通过程序指令相关的硬件来完成， 前述的程序可以存储于 一计算机可读取存储介质中， 该程序在执行时， 执行包括上述方法实 施例的步骤； 而前述的存储介质包括： ROM、 RAM, 磁碟或者光盘等 各种可以存储程序代码的介质。
以上所述， 仅为本发明的具体实施方式， 但本发明的保护范围并不 局限于此， 任何熟悉本技术领域的技术人员在本发明揭露的技术范围内， 可轻易想到变化或替换， 都应涵盖在本发明的保护范围之内。 因此， 本 发明的保护范围应以所述权利要求的保护范围为准。

Claims

权利要求
1、 一种视频监控方法， 其特征在于， 包括：
客户端获取智能分析告警及至少一个触发告警物体的轨迹信息， 并根据所述智能分析告警调整用户界面窗口布局， 其中， 所述智能分 析告警是所述客户端或监控平台或摄像机通过智能分析策略在监控场 景中判定有入侵物体时所触发的；
所述客户端根据所述至少一个触发告警物体的移动轨迹信息对所 述至少一个触发告警物体进行局部放大。
2、 根据权利要求 1所述的方法， 其特征在于， 所述方法还包括： 在所述至少一个触发告警物体移动后， 所述客户端继续获取所述 至少一个触发告警物体的轨迹信息；
所述客户端根据所述至少一个触发告警物体的轨迹信息对所述至 少一个触发告警物体进行局部放大， 使得所述至少一个触发告警物体 始终显示在所述用户界面对应窗口的视频画面中心。
3、 根据权利要求 2所述的方法， 其特征在于， 所述客户端根据所 述至少一个触发告警物体的移动轨迹信息对所述至少一个触发告警物 体进行局部放大， 包括：
所述客户端从所述至少一个触发告警物体的轨迹信息中获取所述 至少一个触发告警物体的位置信息；
所述客户端获取当前的实时图像， 并将所述实时图像与所述至少 一个触发告警物体的位置信息进行匹配， 找到所述至少一个触发告警 物体在所述实时图像中的位置；
所述客户端以所述至少一个触发告警物体在所述实时图像中的位 置为中心将所述至少一个触发告警物体进行局部放大。
4、 根据权利要求 1至 3任一项所述的方法， 其特征在于， 当所述 智能分析告警是所述客户端通过智能分析策略在监控场景中判定有入 侵物体时所触发的；
所述客户端获取智能分析告警及至少一个触发告警物体的轨迹信 息， 并根据所述智能分析告警调整用户界面窗口布局包括： 所述客户端根据用户配置的智能分析策略在监控场景中判定有入 侵物体时， 触发智能分析告警， 并记录所述至少一个触发告警物体的 轨迹信息；
所述客户端根据所述智能分析告警调整所述用户界面窗口布局。
5、 根据权利要求 1至 3任一项所述的方法， 其特征在于， 当所述 智能分析告警是所述监控平台通过智能分析策略在监控场景中判定有 入侵物体时所触发的；
所述客户端获取智能分析告警及至少一个触发告警物体的轨迹信 息， 并根据所述智能分析告警启动调整用户界面窗口布局包括：
所述客户端接收所述监控平台根据用户配置的智能分析策略判定 监控场景中有入侵物体时， 上报的所述智能分析告警；
所述客户端接收所述监控平台在生成了所述智能分析告警之后获 取的所述至少一个触发告警物体的轨迹信息；
所述客户端根据所述智能分析告警调整所述用户界面窗口布局。
6、 一种视频监控方法， 其特征在于， 包括：
监控平台根据用户配置的智能分析策略在监控场景中判定有入侵 物体时， 触发智能分析告警， 并记录至少一个触发告警物体的轨迹信 息；
所述监控平台将所述智能分析告警及所述至少一个触发告警物体 的轨迹信息发送至客户端， 以便所述客户端根据所述智能分析告警调 整用户界面窗口布局， 并通过所述至少一个触发告警物体的移动轨迹 信息对所述至少一个触发告警物体进行局部放大。
7、 一种客户端， 其特征在于， 包括：
信息获取模块， 用于获取智能分析告警及至少一个触发告警物体 的轨迹信息， 其中， 所述智能分析告警是所述客户端或监控平台或摄 像机通过智能分析策略在监控场景中判定有入侵物体时所触发的； 界面调整模块， 用于根据所述信息获取模块获取的所述智能分析 告警调整用户界面窗口布局； 局部放大模块， 用于根据所述信息获取模块获取的所述至少一个 触发告警物体的移动轨迹信息对所述至少一个触发告警物体进行局部 放大。
8、 根据权利要求 7所述的客户端， 其特征在于：
所述信息获取模块， 还用于在所述至少一个触发告警物体移动后， 继续获取所述至少一个触发告警物体的轨迹信息；
所述局部放大模块， 还用于根据所述信息获取模块获取的所述至 少一个触发告警物体的轨迹信息对所述至少一个触发告警物体进行局 部放大， 使得所述至少一个触发告警物体始终显示在用户界面对应窗 口的视频画面中心。
9、 根据权利要求 8所述的客户端， 其特征在于， 所述局部放大模 块包括：
信息获取单元， 用于从所述至少一个触发告警物体的轨迹信息中 获取所述至少一个触发告警物体的位置信息；
所述信息获取单元， 还用于获取当前的实时图像， 并将所述实时 图像与所述至少一个触发告警物体的位置信息进行匹配， 找到所述至 少一个触发告警物体在所述实时图像中的位置；
局部放大单元， 用于以所述至少一个触发告警物体在所述实时图 像中的位置为中心将所述至少一个触发告警物体进行局部放大。
10、 根据权利要求 7至 9任一项所述的客户端， 其特征在于， 当 所述智能分析告警是所述客户端通过智能分析策略在监控场景中判定 有入侵物体时所触发的；
所述信息获取模块具体用于： 根据用户配置的智能分析策略在监 控场景中判定有入侵物体时， 触发智能分析告警， 并记录所述至少一 个触发告警物体的轨迹信息， 以便于所述界面调整模块根据所述智能 分析告警调整用户界面窗口布局。
11、 根据权利要求 7至 9任一项所述的客户端， 其特征在于， 当 所述智能分析告警是所述监控平台通过智能分析策略在监控场景中判 定有入侵物体时所触发的； 所述信息获取模块具体用于： 接收所述监控平台根据用户配置的 智能分析策略判定监控场景中有入侵物体时， 上报的所述智能分析告 警； 接收所述监控平台在生成了所述智能分析告警之后获取的所述至 少一个触发告警物体的轨迹信息， 以便于所述界面调整模块用于根据 所述智能分析告警调整用户界面窗口布局。
12、 一种监控平台， 其特征在于， 包括：
信息获取模块， 用于根据用户配置的智能分析策略在监控场景中 判定有入侵物体时， 触发智能分析告警， 并记录至少一个触发告警物 体的轨迹信息；
信息发送模块， 用于将所述信息获取模块获取的所述智能分析告 警及所述至少一个触发告警物体的轨迹信息发送至客户端， 以便所述 客户端根据所述智能分析告警调整用户界面窗口布局， 并通过所述至 少一个触发告警物体的移动轨迹信息对所述至少一个触发告警物体进 行局部放大。
13、 一种视频监控系统， 其特征在于， 所述视频监控系统包括： 客户端、 监控平台和摄像机， 所述客户端为权利要求 7至 11所述的任 一客户端， 所述监控平台为权利要求 12所述的监控平台。
PCT/CN2014/077115 2013-05-28 2014-05-09 一种视频监控方法、装置及系统 Ceased WO2014190851A1 (zh)

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