Method for detecting moving objects in video according to scene variation characteristic

A technology of moving objects and scene changes, applied in the field of video processing, can solve problems such as the background model does not match the actual scene, distinguish between different changing areas, etc., and achieve the effect of quickly and accurately updating the background model

Inactive Publication Date: 2008-08-20
BEIHANG UNIV
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Problems solved by technology

[0007] The above method does not distinguish different changing areas in the scene, and selects the background update rate accord

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  • Method for detecting moving objects in video according to scene variation characteristic
  • Method for detecting moving objects in video according to scene variation characteristic
  • Method for detecting moving objects in video according to scene variation characteristic

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[0030] In order to better understand the technical solutions of the present invention, the following will further describe in detail with reference to the drawings and implementation examples.

[0031] Figure 1 is a flow chart of the method of the present invention. In order to establish a background model for the detection of moving objects in a video, p-frame continuous image sequences are required as samples for model training. First, perform feature point detection and background feature point parameter calculation based on the training image, and then perform background pixel point parameter calculation based on the training image (as shown in Figure 2, the result of feature point detection on a certain image). When detecting a moving object, for the current image to be detected, the motion feature point is calculated according to the background feature point parameter and the current image feature point (as shown in b in Figure 4, the cross point is the calculated motion fea...

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Abstract

A method for detecting video moving object according to scene change characteristic includes the steps of: (1) proceeding characteristic point detection, background characteristic point parameter calculation and background model pixel point parameter calculation according to training image, (2) in moving object detection, for current detecting image, calculating movement characteristic point according to the background characteristic point parameter and current detecting image characteristic point; (3) classifying the pixel point parameter in the background model according to the movement characteristic point; (4) calculating renewal rate of the background model pixel point parameter according to classification result; (5) finally using background subtraction method to obtain moving object position and shape according to current image and the background model pixel point parameter, meanwhile, according to the calculated background model pixel point renewal rate to update the background model pixel point parameter. The invention can more accurately detect moving object, and obtain the position and the shape of the moving object.

Description

technical field [0001] The invention belongs to the technical field of video processing, and more relates to a method for detecting moving objects in a video according to scene change characteristics. Background technique [0002] The background difference method is often used in the method of detecting moving objects in the video. The background model is the representation of the background in the video. The background difference distinguishes the moving object from the background object through the comparison of the current frame and the background model. Through the comparison, the area with significant changes in the background model is obtained, and then the moving object area is analyzed using the connected region analysis method. Marking, the obtained area information of moving objects can be used for higher-level vision system tasks, such as motion prediction, tracking, etc. An important step in the background difference method is to express the background with a su...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06T7/20
Inventor 赵沁平张彦张淑军周忠吴威
Owner BEIHANG UNIV
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