ES2563452T3 - Procedure to monitor a predetermined area and corresponding system - Google Patents
Procedure to monitor a predetermined area and corresponding system Download PDFInfo
- Publication number
- ES2563452T3 ES2563452T3 ES01119125.1T ES01119125T ES2563452T3 ES 2563452 T3 ES2563452 T3 ES 2563452T3 ES 01119125 T ES01119125 T ES 01119125T ES 2563452 T3 ES2563452 T3 ES 2563452T3
- Authority
- ES
- Spain
- Prior art keywords
- image capture
- capture device
- detection zone
- image
- predetermined
- 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.)
- Expired - Lifetime
Links
Classifications
-
- 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
- G08B13/19665—Details related to the storage of video surveillance data
- G08B13/19669—Event triggers storage or change of storage policy
-
- 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
-
- 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
- G08B13/19639—Details of the system layout
- G08B13/19641—Multiple cameras having overlapping views on a single scene
-
- 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
- G08B13/19639—Details of the system layout
- G08B13/19652—Systems using zones in a single scene defined for different treatment, e.g. outer zone gives pre-alarm, inner zone gives alarm
-
- 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
- G08B13/19697—Arrangements wherein non-video detectors generate an alarm themselves
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Alarm Systems (AREA)
- Closed-Circuit Television Systems (AREA)
- Burglar Alarm Systems (AREA)
- Image Analysis (AREA)
Abstract
Procedimiento para vigilar un area predeterminada en base a imagenes que son generadas por lo menos por un primer y segundo dispositivo de captacion de imagenes (1, 2), en donde el area predeterminada presenta por lo menos dos zonas que representan una zona critica (12) y una zona no critica (EB), que estan separadas entre si por un limite de alarma (KL1), y en donde a cada dispositivo de captacion de imagenes se le asigna una zona de deteccion predeterminada (6, 7), un objeto que ingresa en la zona de deteccion (6) del primer dispositivo de captacion de imagenes (1) es detectado por el primer dispositivo de captacion de imagenes, si se sobrepasa un valor de umbral de deteccion predeterminado para la zona de deteccion del primer dispositivo de captacion de imagenes, en donde el primer dispositivo de captacion de imagenes registrar datos que describen cambios en la posicion del objeto en la correspondiente zona de deteccion, y en donde dichos datos son transferidos por el primer dispositivo de captacion de imagenes al segundo dispositivo de captacion de imagenes (2) y un valor de umbral de deteccion predeterminado para la zona de deteccion del segundo dispositivo de captacion de imagenes se reduce, cuando el objeto abandona la zona de deteccion del primer dispositivo de captacion de imagenes en direccion hacia la zona de deteccion del segundo dispositivo de captacion de imagenes.Procedure for monitoring a predetermined area based on images that are generated by at least a first and second image capture device (1, 2), wherein the predetermined area has at least two zones representing a critical area (12 ) and a non-critical zone (EB), which are separated from each other by an alarm limit (KL1), and where each image capture device is assigned a predetermined detection zone (6, 7), an object which enters the detection zone (6) of the first image capture device (1) is detected by the first image capture device, if a predetermined detection threshold value is exceeded for the detection zone of the first image capture device. image capture, where the first image capture device record data describing changes in the position of the object in the corresponding detection zone, and where said data is transferred by the first arrangement Image capture device to the second image capture device (2) and a predetermined detection threshold value for the detection zone of the second image capture device is reduced, when the object leaves the detection zone of the first image device. image capture in the direction of the detection area of the second image capture device.
Description
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los cambios de imagen en la imagen actual en relación a la imagen de referencia. Image changes in the current image in relation to the reference image.
La Fig. 8 muestra una vista detallada del dispositivo de determinación de objeto 32 de la Fig. 5. El dispositivo de determinación de objeto 32 comprende preferentemente una memoria de imagen binaria 41, un extractor de objeto 42 y un correlacionador de objeto 43. Fig. 8 shows a detailed view of the object determination device 32 of Fig. 5. The object determination device 32 preferably comprises a binary image memory 41, an object extractor 42 and an object correlator 43.
En la memoria de imagen binaria 41 se almacena la imagen binaria generada en el dispositivo de determinación de diferencias entre imágenes 31. Esta imagen binaria es analizada por el extractor de objeto 42 en relación a píxeles coherentes y marcados, para extraer así los objetos, y los datos de objeto correspondientes se almacenan en la lista de objetos. In the binary image memory 41 the binary image generated in the device for determining differences between images 31 is stored. This binary image is analyzed by the object extractor 42 in relation to coherent and marked pixels, to thereby extract the objects, and The corresponding object data is stored in the object list.
Una ventaja sustancial de la determinación de objetos consiste en que en el desarrollo ulterior del procesamiento no se usan más píxeles individuales, sino que se usan únicamente los objetos extraídos, con lo que se incrementa sustancialmente la velocidad de procesamiento. A substantial advantage of the determination of objects is that in the further development of the processing no more individual pixels are used, but only the extracted objects are used, thereby substantially increasing the processing speed.
Mediante el correlacionador de objetos 43, la lista de objetos actual se compara con una lista de objetos almacenada de la imagen precedente y se actualiza, en donde los objetos extraídos de la imagen binaria actual se asignan mediante una prueba de plausibilidad a los objetos encontrados en la imagen precedente. Using the object correlator 43, the current list of objects is compared with a list of stored objects of the preceding image and is updated, where the objects extracted from the current binary image are assigned by plausibility test to the objects found in The preceding image.
La Fig. 9 muestra una vista detallada del dispositivo de evaluación 33 de la Fig. 5 el dispositivo de evaluación 33 comprende preferentemente un dispositivo de seguimiento de objeto 44, un dispositivo de extracción de características 45 y un dispositivo de prueba de objeto de alarma 46. Fig. 9 shows a detailed view of the evaluation device 33 of Fig. 5 the evaluation device 33 preferably comprises an object tracking device 44, a feature extraction device 45 and an alarm object test device 46 .
El dispositivo de seguimiento de objeto 44 calcula los datos que se usan para el seguimiento de un objeto en el campo visual de una cámara correspondiente 1, 2. Adicionalmente, el dispositivo de seguimiento de objeto 44, en el caso de que un objeto abandone el campo visual de una cámara 1, 2, determina si el objeto ingresa en el campo visual de otra cámara 1, 2. Por lo tanto, el dispositivo de seguimiento de objeto 44 puede enviar una señal al dispositivo de selección 28 y causar que la señal de vídeo de la correspondiente cámara 1, 2 se conecte al monitor 35 por medio del conmutador 48. The object tracking device 44 calculates the data that is used for tracking an object in the visual field of a corresponding camera 1, 2. Additionally, the object tracking device 44, in the event that an object leaves the object. visual field of a camera 1, 2, determines whether the object enters the visual field of another camera 1, 2. Therefore, the object tracking device 44 can send a signal to the selection device 28 and cause the signal Video of the corresponding camera 1, 2 is connected to the monitor 35 by means of the switch 48.
El dispositivo de extracción de características 45 le los datos de imagen en la zona de los rectángulos de objeto relevantes para la alarma en la primera memoria de imágenes 36 de la Fig. 6 y extrae en esa sección de imagen que las características de contenido de imagen para un objeto correspondiente conforme a procedimientos de procesamiento de imágenes conocidos. Esta extracción de características, sin embargo, solo se efectúa para objetos relevantes para la alarma, es decir, para objetos que presentan una predeterminada dirección, tamaño, velocidad, etc. The feature extraction device 45 gives the image data in the area of the object rectangles relevant to the alarm in the first image memory 36 of Fig. 6 and extracts in that image section that the image content characteristics for a corresponding object according to known image processing procedures. This feature extraction, however, is only performed for objects relevant to the alarm, that is, for objects that have a predetermined address, size, speed, etc.
En el dispositivo de prueba de objeto de alarma 46 se comparan las características de los objetos extraídos y seguidos con los criterios de características requeridas almacenados en el dispositivo de almacenamiento 34. In the alarm object test device 46 the characteristics of the objects extracted and followed are compared with the criteria of required characteristics stored in the storage device 34.
La Fig. 10 muestra un diagrama modular con una variante adicional del sistema de acuerdo con la Fig. 5, en la que se conecta de forma intermedia una etapa de reducción 47 entre el convertidor analógico/digital 29 y el dispositivo de almacenamiento 30. La etapa de reducción 47 sirve para reducir el volumen de datos de una señal de vídeo, por ejemplo, mediante la suma por grupos de diferentes datos de píxeles para formar nuevos datos de píxeles que se almacenan en el dispositivo de almacenamiento 30. Fig. 10 shows a modular diagram with an additional variant of the system according to Fig. 5, in which a reduction stage 47 is connected intermediate between the analog / digital converter 29 and the storage device 30. The reduction step 47 serves to reduce the volume of data of a video signal, for example, by adding together groups of different pixel data to form new pixel data that is stored in the storage device 30.
La Fig. 11 muestra una sección de memoria de la memoria de imagen binaria 41 de la Fig. 8. La sección de memoria se representa en forma de un sistema de coordenadas bidimensional 49 con un eje x en dirección horizontal y un eje y en dirección vertical. Los píxeles marcados se identifican mediante cruces, es decir, “X”. En el presente ejemplo, las dos zonas de píxeles marcados 50, 51, que se han modificado en relación a la imagen de referencia, se extrajeron como objetos 1 y 2. Los objetos extraídos son de forma rectangular, en donde el objeto 1, que corresponde a la zona de píxeles 50, tiene una altura H1 y una anchura B1, mientras que el objeto 2, que corresponde a la zona de píxeles 51, presenta una altura H2 y una anchura B2. Fig. 11 shows a memory section of the binary image memory 41 of Fig. 8. The memory section is represented in the form of a two-dimensional coordinate system 49 with an x axis in the horizontal direction and an y axis in the direction vertical. Marked pixels are identified by crosses, that is, "X". In the present example, the two areas of marked pixels 50, 51, which have been modified in relation to the reference image, were extracted as objects 1 and 2. The extracted objects are rectangular in shape, where object 1, which corresponds to the pixel area 50, has a height H1 and a width B1, while the object 2, which corresponds to the pixel area 51, has a height H2 and a width B2.
Del sistema de coordenadas bidimensional 49 se pueden determinar datos que representan las coordenadas x, y del correspondiente centro de objeto, la respectiva altura de objeto H, la respectiva anchura de objeto B y el número Px de los píxeles binarios marcados. Estos datos se registran en una lista de objetos 52. From the two-dimensional coordinate system 49, data representing the x-coordinates, and the corresponding object center, the respective object height H, the respective object width B and the number Px of the marked binary pixels can be determined. This data is recorded in a list of objects 52.
En el presente objeto, el centro del objeto 1, que corresponde a la zona de píxeles 50, se ubica en x = 3,5 e y = 1,5. El objeto presenta una altura de 2 px y una anchura de 4 px y comprende un número total de 5 px marcados. In the present object, the center of object 1, which corresponds to the pixel area 50, is located at x = 3.5 and y = 1.5. The object has a height of 2 px and a width of 4 px and comprises a total number of 5 px marked.
La Fig. 12 muestra una lista de objetos actualizada, en la que los datos, que son calculados por el dispositivo de seguimiento de objeto 44, han sido complementados. A este respecto, el centro de detección actual de un objeto es representado por las coordenadas xn e yn y el último centro almacenado del objeto es representado por las coordenadas xn-1 e yn-1. Los valores Hn-1, Bn-1 y Pxn-1 indican los últimos valores almacenados de altura, anchura y el número de píxeles marcados del objeto, respectivamente. Después de la evaluación de los nuevos datos de objeto por el dispositivo de seguimiento de objeto 44, la lista de objetos actualizada es complementada con los valores determinados para el valor de un vector de movimiento s, una velocidad media v, una duración de existencia actual Fig. 12 shows an updated list of objects, in which the data, which is calculated by the object tracking device 44, has been complemented. In this regard, the current detection center of an object is represented by the xn and yn coordinates and the last stored center of the object is represented by the xn-1 and yn-1 coordinates. The Hn-1, Bn-1 and Pxn-1 values indicate the last stored values of height, width and the number of marked pixels of the object, respectively. After the evaluation of the new object data by the object tracking device 44, the updated object list is complemented with the values determined for the value of a motion vector s, an average speed v, a current existence duration
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Claims (1)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE10042935 | 2000-08-31 | ||
| DE2000142935 DE10042935B4 (en) | 2000-08-31 | 2000-08-31 | Method for monitoring a predetermined area and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| ES2563452T3 true ES2563452T3 (en) | 2016-03-15 |
Family
ID=7654518
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| ES01119125.1T Expired - Lifetime ES2563452T3 (en) | 2000-08-31 | 2001-08-08 | Procedure to monitor a predetermined area and corresponding system |
Country Status (4)
| Country | Link |
|---|---|
| EP (1) | EP1189187B1 (en) |
| DE (1) | DE10042935B4 (en) |
| ES (1) | ES2563452T3 (en) |
| NO (1) | NO329869B1 (en) |
Families Citing this family (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7221775B2 (en) | 2002-11-12 | 2007-05-22 | Intellivid Corporation | Method and apparatus for computerized image background analysis |
| EP1563686B1 (en) | 2002-11-12 | 2010-01-06 | Intellivid Corporation | Method and system for tracking and behavioral monitoring of multiple objects moving through multiple fields-of-view |
| DE10310636A1 (en) * | 2003-03-10 | 2004-09-30 | Mobotix Ag | monitoring device |
| US7286157B2 (en) | 2003-09-11 | 2007-10-23 | Intellivid Corporation | Computerized method and apparatus for determining field-of-view relationships among multiple image sensors |
| US7346187B2 (en) | 2003-10-10 | 2008-03-18 | Intellivid Corporation | Method of counting objects in a monitored environment and apparatus for the same |
| US7280673B2 (en) | 2003-10-10 | 2007-10-09 | Intellivid Corporation | System and method for searching for changes in surveillance video |
| FI117662B (en) * | 2004-06-29 | 2006-12-29 | Videra Oy | AV system as well as controls |
| WO2006013941A1 (en) * | 2004-08-05 | 2006-02-09 | Matsushita Electric Industrial Co., Ltd. | Monitoring device and program thereof |
| EP1872345B1 (en) | 2005-03-25 | 2011-03-02 | Sensormatic Electronics, LLC | Intelligent camera selection and object tracking |
| US9036028B2 (en) | 2005-09-02 | 2015-05-19 | Sensormatic Electronics, LLC | Object tracking and alerts |
| US7825792B2 (en) | 2006-06-02 | 2010-11-02 | Sensormatic Electronics Llc | Systems and methods for distributed monitoring of remote sites |
| US7671728B2 (en) | 2006-06-02 | 2010-03-02 | Sensormatic Electronics, LLC | Systems and methods for distributed monitoring of remote sites |
| JP4318724B2 (en) | 2007-02-14 | 2009-08-26 | パナソニック株式会社 | Surveillance camera and surveillance camera control method |
| WO2017060083A1 (en) * | 2015-10-06 | 2017-04-13 | Philips Lighting Holding B.V. | Integrated lighting and people counting system |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2183878B (en) * | 1985-10-11 | 1989-09-20 | Matsushita Electric Works Ltd | Abnormality supervising system |
| CA2155719C (en) * | 1994-11-22 | 2005-11-01 | Terry Laurence Glatt | Video surveillance system with pilot and slave cameras |
| GB2337146B (en) * | 1998-05-08 | 2000-07-19 | Primary Image Limited | Method and apparatus for detecting motion across a surveillance area |
| US6359647B1 (en) * | 1998-08-07 | 2002-03-19 | Philips Electronics North America Corporation | Automated camera handoff system for figure tracking in a multiple camera system |
-
2000
- 2000-08-31 DE DE2000142935 patent/DE10042935B4/en not_active Expired - Lifetime
-
2001
- 2001-08-08 ES ES01119125.1T patent/ES2563452T3/en not_active Expired - Lifetime
- 2001-08-08 EP EP01119125.1A patent/EP1189187B1/en not_active Expired - Lifetime
- 2001-08-27 NO NO20014158A patent/NO329869B1/en not_active IP Right Cessation
Also Published As
| Publication number | Publication date |
|---|---|
| NO329869B1 (en) | 2011-01-17 |
| NO20014158L (en) | 2002-03-01 |
| DE10042935B4 (en) | 2005-07-21 |
| DE10042935A1 (en) | 2002-03-14 |
| EP1189187A2 (en) | 2002-03-20 |
| EP1189187B1 (en) | 2016-02-03 |
| NO20014158D0 (en) | 2001-08-27 |
| EP1189187A3 (en) | 2009-05-27 |
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