Video target dividing method based on motion detection

A technology of video object and motion detection, which is applied in the field of video object segmentation and video object segmentation based on motion detection, can solve the problems of convergence speed dependence, large amount of calculation, noise motion, etc., and achieve good background extraction, reliable accuracy, and improved Intelligent effect

A technology of video object and motion detection, which is applied in the field of video object segmentation and video object segmentation based on motion detection, can solve the problems of convergence speed dependence, large amount of calculation, noise motion, etc., and achieve good background extraction, reliable accuracy, and improved Intelligent effect

CN1529506AInactive Publication Date: 2004-09-15SHANGHAI JIAO TONG UNIV
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  • Video target dividing method based on motion detection
  • Video target dividing method based on motion detection
  • Video target dividing method based on motion detection

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Experimental program
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Effect test

Embodiment Construction

[0041] Below in conjunction with embodiment the method of the present invention will be further understood,

[0042]●Background initialization module: initialize the number of distributions in the model, use the RGB value of the current initial input frame as the mean value of each distribution, the system defaults the maximum variance as the variance of each distribution, set the weight of the first distribution to 1, and the weight of the other distributions The weight is 0, and the initialization model is completed.

[0043] ●Data input module: convert the received video frame format, such as converting YUV12 to RGB (using MSDN recommended interpolation method, see http: / / msdn.microsoft.com / library / ). Use the format conversion module to convert the video frame into the format required by the subsequent module processing.

[0044] ●Background update module: select received frame data (according to different processor speeds, tentatively set as 1 out of 4), process according...

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Abstract

The invention belongs to technique area of video monitoring and video processing in bottom layer. The method includes following steps: (1) reading out original video frame, initializing background model; (2) reading out current video frame, extracting characteristic value of video, matching old background model by using current characteristic value, analyzing statistical characterization; based on model, setting up parameters, and updating background model; (3) in current background model, accounting background distribution with largest occurrence probability; after operation of erosion and clearing up shadow, the current background is picked up. The invention segments reliable background and foreground in real time. The invention also improves segmenting speed in a certain extent and avoids error expand in order to meet requirement in real time and stability of video monitoring.

Description

technical field [0001] The invention relates to a video object segmentation method, in particular to a video object segmentation method based on motion detection. The invention belongs to the technical field of video surveillance and underlying video processing. Background technique [0002] Video signal is the most important one in multimedia information, and the traditional monitoring system can no longer meet the monitoring of complex and changing environments. The monitoring system must be able to analyze the video signal and understand its content, so as to further understand the suspicious behavior in a specific place, issue real-time alarms, and mark and transmit relevant video content. This kind of high-level video content understanding, the first thing to realize is the segmentation of video objects based on motion detection, that is, to separate the moving foreground objects and background in the video. [0003] So far, video segmentation technology based on moti...

Claims

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Application Information

Patent Timeline
15 Sep 2004
Publication
CN1529506A
IPC
G06V10/28; H04N5/14; H04N7/18
CPC
G06K9/38; G06V10/28
Inventors
杨树堂; 陈丽亚