Foreground Segmentation Method of Moving Camera Based on Block Clustering

Abstract

The invention relates to the field of image information processing and particularly discloses a motion camera foreground segmentation method based on block clustering. The method comprises the following steps: firstly, performing point tracking in a motion scene by an optical flow method to obtain point loci of the whole scene region; classifying the point loci to obtain a foreground point locus and a background point locus respectively, and removing error loci; secondly, segmenting a video image into a foreground region and a background region, working out a mass center motion locus of a region without the point loci, and comparing the locus of the region with the foreground and background loci to judge whether the region belongs to the foreground region or the background region so as to finish the foreground segmentation process. According to the method, a point locus classification result with relatively high precision and an accurate target edge can be obtained, and the error detection problem caused by inaccurate point loci can be solved.

Description

technical field [0001] The invention belongs to the field of image information processing, and relates to a foreground segmentation method for a video shot by a moving camera. Background technique [0002] Video foreground segmentation is widely used in the fields of computer vision and video image processing, and is of great significance to target detection, recognition and tracking. Some traditional foreground segmentation methods can achieve ideal results when the camera is still, but it is difficult to work when the camera is moving. Motion analysis based on point trajectories [1] is an effective method for foreground segmentation of moving cameras, but this method cannot accurately maintain the edges of foreground moving objects, and part of the foreground area is lost due to the error of point trajectories, which affects the actual application effect. [0003] The existing method based on point trajectory is: first obtain the scene point trajectory through the optical...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of the foreground segmentation technology of the video shot by the moving camera, the present invention provides a moving camera foreground segmentation method based on block clustering, which can obtain higher-precision point trajectory classification results and accurate target edges, and can compensate for the False detection problems caused by inaccuracy

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