MY205788A - A system and method for detecting a moving object in a dynamic environment from a sequence of captured images - Google Patents

A system and method for detecting a moving object in a dynamic environment from a sequence of captured images

Info

Publication number
MY205788A
MY205788A MYPI2020003396A MYPI2020003396A MY205788A MY 205788 A MY205788 A MY 205788A MY PI2020003396 A MYPI2020003396 A MY PI2020003396A MY PI2020003396 A MYPI2020003396 A MY PI2020003396A MY 205788 A MY205788 A MY 205788A
Authority
MY
Malaysia
Prior art keywords
moving object
module
learning rate
captured images
images
Prior art date
Application number
MYPI2020003396A
Inventor
Kim Meng Liang
Hock Woon Hon
Naidu A/L Rangganazan Durai
Original Assignee
Mimos Berhad
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 Mimos Berhad filed Critical Mimos Berhad
Priority to MYPI2020003396A priority Critical patent/MY205788A/en
Priority to PCT/MY2020/050185 priority patent/WO2022005274A1/en
Publication of MY205788A publication Critical patent/MY205788A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/254—Analysis of motion involving subtraction of images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30232—Surveillance

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Image Analysis (AREA)

Abstract

The present invention discloses a system to detect a moving object in a dynamic environment from a sequence of captured images, comprising a learning rate module (9), an image filtering module (10), an object likelihood level module (11), and an object identification module (12). The system executes the following steps: determining a learning rate seed (301) based on the speed rate (306) of the moving object, applying the determined learning rate seed (301) to a data training module (13) for filtering of background images (403) from captured images, calculating an object likelihood level (505) by computing statistical properties of the filtered images (406), and identifying the moving object based on the object likelihood level (505), wherein the learning rate seed (301) and the object likelihood level (505) are updated based on a processing of one or more new images.
MYPI2020003396A 2020-06-30 2020-06-30 A system and method for detecting a moving object in a dynamic environment from a sequence of captured images MY205788A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
MYPI2020003396A MY205788A (en) 2020-06-30 2020-06-30 A system and method for detecting a moving object in a dynamic environment from a sequence of captured images
PCT/MY2020/050185 WO2022005274A1 (en) 2020-06-30 2020-12-01 A system and method for detecting a moving object in a dynamic environment from a sequence of captured images

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
MYPI2020003396A MY205788A (en) 2020-06-30 2020-06-30 A system and method for detecting a moving object in a dynamic environment from a sequence of captured images

Publications (1)

Publication Number Publication Date
MY205788A true MY205788A (en) 2024-11-13

Family

ID=79317209

Family Applications (1)

Application Number Title Priority Date Filing Date
MYPI2020003396A MY205788A (en) 2020-06-30 2020-06-30 A system and method for detecting a moving object in a dynamic environment from a sequence of captured images

Country Status (2)

Country Link
MY (1) MY205788A (en)
WO (1) WO2022005274A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118396986B (en) * 2024-06-25 2024-09-03 湖南建工交建宏特科技有限公司 Real-time monitoring method for road engineering construction quality

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101375665B1 (en) * 2007-08-08 2014-03-18 삼성전자주식회사 Method and apparatus for estimating a background change, and method and apparatus for detecting a motion
AU2010238543B2 (en) * 2010-10-29 2013-10-31 Canon Kabushiki Kaisha Method for video object detection
US8599255B2 (en) * 2010-12-07 2013-12-03 Qnap Systems, Inc. Video surveillance system based on Gaussian mixture modeling with two-type learning rate control scheme
US9584814B2 (en) * 2014-05-15 2017-02-28 Intel Corporation Content adaptive background foreground segmentation for video coding
US9454819B1 (en) * 2015-06-03 2016-09-27 The United States Of America As Represented By The Secretary Of The Air Force System and method for static and moving object detection

Also Published As

Publication number Publication date
WO2022005274A1 (en) 2022-01-06

Similar Documents

Publication Publication Date Title
CN106327520B (en) Moving target detection method and system
MX2023011465A (en) Object imaging and detection systems and methods.
CN113487538B (en) Multi-target segmentation defect detection method and device and computer storage medium thereof
CN104636118B (en) QR Quick Response Code self-adaption binaryzation treating method and apparatus based on photo-equilibrium
CN105095890B (en) Method and device for character segmentation in images
GB2605723A (en) Video segmentation based on weighted knowledge graph
US20180268556A1 (en) Method for detecting moving objects in a video having non-stationary background
EP4361615A1 (en) Inspection method, classification method, management method, steel material manufacturing method, training model generation method, training model, inspection device, and steel material manufacturing facility
CN108268823A (en) Target recognition methods and device again
CN108629792A (en) Laser eyepiece detection method and device based on background modeling Yu background difference
CN108288274B (en) Mold detection method and device and electronic equipment
CN117474924B (en) Label defect detection method based on machine vision
EP4152180A3 (en) Method of detecting action, electronic device, and storage medium
CN107123132A (en) A kind of moving target detecting method of Statistical background model
MY205788A (en) A system and method for detecting a moving object in a dynamic environment from a sequence of captured images
CN116086455A (en) Device positioning method, device and storage medium
CN113052019B (en) Target tracking method and device, intelligent equipment and computer storage medium
CN115205787A (en) Pedestrian falling detection method and device, electronic equipment and storage medium
Oyewole et al. Bridging communication gap among people with hearing impairment: An application of image processing and artificial neural network
CN114463690A (en) Abnormity detection method and device, electronic equipment and storage medium
CN112164097A (en) Ship video detection sample acquisition method
KR20200123323A (en) Method for segmentation of occluded pig objects using rotated bounding boxes based on yolo algorithm
CN117392430A (en) Target false alarm detection method, electronic device and computer-readable storage medium
CN109359643B (en) Dial plate pointer identification method using computer vision
WO2023249556A3 (en) A method and apparatus for processing video based on contrastive learning, device, and medium