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Intelligent video human body identification method

A technology of human body recognition and video, applied in the field of intelligent video human body recognition, to achieve the effect of strong anti-interference, high robustness and good recognition effect

Inactive Publication Date: 2011-03-30
SHANGHAI LISHI MICROELECTRONICS
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, since the background model of this method is fixed, once it is established, it is more sensitive to any changes in the scene image, such as the direction of sunlight, shadows, leaves shaking with the wind, etc.

Method used

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Embodiment Construction

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0038] The invention provides an intelligent video human body recognition method. see figure 1 , the method includes the steps of:

[0039] The first step is to establish a static background model. First, the static background model is obtained by performing median filtering on the sequence frames of about 25 frames per second in the time domain, thereby eliminating the instability of a single frame as a background model;

[0040] The second step is to use the frame difference method to determine the human body motion contour and the background subtraction method to obtain the human body motion area, and fill the human body motion area into the human body motion contour;

[0041] The third step is to use the maximum variance threshold segmentation to binarize the filling res...

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Abstract

The invention provides an intelligent video human body identification method belonging to the technical field of computer graphics. The method comprises the following steps of: (1) establishing a static background model; (2) determining a human body movement outline and a background subtraction by utilizing interframe difference to obtain a human body movement areas, and filling the human body movement areas into the human body movement outline; (3) carrying out binaryzation on a filling result obtained in the step (2) by utilizing a maximum variance threshold segmentation method, and meanwhile analyzing the segmentation validity; and (4) for the valid segmentation, merging the human body movement areas, tracking the human body movement locus, updating the static background model and returning to the step (2). The invention has good identification effect and high robustness and does not need manual intervention. Moreover, the invention has strong interference resistance, can accurately eliminate the condition like the sudden change of the indoor light and can also filter off the interference of leaf swing and air flyers and the common outdoor environments like the sudden change of the weather, thereby reducing the false tracking phenomenon and false alarm phenomenon.

Description

technical field [0001] The invention belongs to the technical field of computer graphics and imaging, and relates to an intelligent video human body recognition method. Background technique [0002] Intelligent video analysis is the introduction of computer vision methods into video surveillance. This technology includes automatic detection of moving targets, target tracking, target classification and behavior understanding from video image sequences. Establish a mapping relationship between them, so that the computer can analyze and understand the content in the video screen. The intelligent video technology mentioned in video surveillance mainly refers to the automatic analysis and extraction of key information in the video source. With the help of the powerful data processing function of the computer, it can analyze the massive data in the video screen at high speed, and filter out the information that the monitor does not care about. Only provide useful key information ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/20G06T7/12G06T7/136G06T7/194G06T7/254
Inventor 王正光黄波士
Owner SHANGHAI LISHI MICROELECTRONICS
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