关键词: Hu_Fourier特征描述子, 固定模板滑动置信度, 运动目标跟踪, 动态背景

Abstract: In order to reduce the computation burden and tracking deviation of target recognitions owing to moving targets with dynamic background, a fast target lock tracking method has been proposed, which is based on Hu_Fourier feature descriptors target recognition algorithm and fixed template sliding confidence least square trajectory estimation algorithm. Firstly, according to the proposed Hu_Fourier descriptors, the counter features are extracted quickly and accurately, by which all targets in the image are recognized on the basis of the weighted distance target recognition algorithm. And the centroid coordinates of the targets are calculated. Then, the target is locked exactly using the proposed fixed template sliding confidence criterion and the recognized target centroid coordinates. The target template is updated by the locked target feature. At last, using the best linear approximation method, the recognition region in the next frame image is determined. The theoretical analysis and experimental results show the robust and efficiency of algorithm proposed.

Key words:  Hu_Fourier feature descriptors, fixed template sliding confidence, moving target tracking, dynamic background