Areal-time image-tracking algorithm is proposed,which gives small weights to pixels farther from the object center and uses the quantized image gray scales as a template.It identifies the target’s location by the mea...Areal-time image-tracking algorithm is proposed,which gives small weights to pixels farther from the object center and uses the quantized image gray scales as a template.It identifies the target’s location by the mean-shift iteration method and arrives at the target’s scale by using image feature recognition.It improves the kernel-based algorithm in tracking scale-changing targets.A decimation method is proposed to track large-sized targets and real-time experimental results verify the effectiveness of the proposed algorithm.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.60572023).
文摘Areal-time image-tracking algorithm is proposed,which gives small weights to pixels farther from the object center and uses the quantized image gray scales as a template.It identifies the target’s location by the mean-shift iteration method and arrives at the target’s scale by using image feature recognition.It improves the kernel-based algorithm in tracking scale-changing targets.A decimation method is proposed to track large-sized targets and real-time experimental results verify the effectiveness of the proposed algorithm.
