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

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...

AI Technical Summary

Problems solved by technology

[0007] The above method does not distinguish different changing areas in the scene, and selects the background update rate according to different changes, so it is easy to cause the background model and the actual scene not to conform to each other over time.

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