Target tracking method based on correlation of space-time-domain edge and color feature

Abstract

The invention discloses a target tracking method based on correlation of space-time-domain edge and color feature. The target tracking method based on correlation of space-time-domain edge and color feature comprises the following steps: (1) selecting a tracked target area; (2) extracting the edge outline of the target and calculating the direction angle of the edge; (3) along the two orthogonal directions of horizontal direction and vertical direction, conducting statistics of edge-color symbiosis character pairs, and building a target edge-color correlation centroid model; (4) selecting the centroids of the edge-color pairs with high confidence coefficient to conduct probability weighting, so as to gain a transfer vector of a target centroids in a current frame; (5) conducting statistics of histograms of target edge distances between adjacent frames, conducting probability weighting of the successfully matched distance change rates between the adjacent frames so as to gain a target dimension scaling parameter. By means of the target tracking method based on correlation of space-time-domain edge and color feature, a target tracking in a crowded scene, a shelter, and a condition that the target dimension changes is achieved, and robustness, accuracy and instantaneity of the tracking are improved. The target tracking method based on correlation of space-time-domain edge and color feature has a wide application prospect in the video image processing field, and can be applied to the fields such as intelligent video monitoring, enterprise production automation and intelligent robot.

Description

technical field [0001] The invention relates to the field of video image processing, in particular to an object tracking method based on space-time domain edge and color feature association in video object tracking. Background technique [0002] Video-based moving target tracking is one of the key technologies in the field of computer intelligent video surveillance. At present, scholars at home and abroad are mainly concerned with the improvement of tracking robustness, accuracy and rapidity under the conditions of scene crowding, occlusion, scene interference with similar features, and target appearance changes. [0003] Since the tracking method based on target content information was reported, there have been continuous patent reports on improving this route at home and abroad, which can be summarized into three categories: 1. Improvement of feature model description method; 2. Improvement of optimal target position search method; 3. Improvements to the target scale upda...

AI Technical Summary

Problems solved by technology

The article "Scale-adaptive object tracking using color centroids" published by Lee SH et al. in Optical Engineering Letters (2011,50(9):1-3) proposed for the first time an object detection and scale update method based on the description of color centroid pairs in chaotic scenes. However, the tracking experiment results under severe illumination changes are not given.

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