基于遮挡检测和多块位置信息融合的分块目标跟踪算法

目标跟踪无法有效判断目标何时被遮挡以及同时配合模板更新.针对这一问题,文中提出基于遮挡检测和多块位置信息融合的分块目标跟踪算法.首先,将目标区域分成4个子块,结合目标整体,利用遮挡具有从局部开始和方向性的特点,计算各分块间相关值的比值,判断目标是否遮挡及遮挡部位.再根据目标是否遮挡,采用不同的更新方式.最后,根据未被遮挡的各个分块位置信息确定最终目标的位置.在数据集上的实验表明,文中算法可以有效判定目标是否存在遮挡,并提升遮挡情况下的跟踪效果.

Block Target Tracking Based on Occlusion Detection and Multi-block Position Information Fusion

Target tracking cannot effectively determine when the target is occluded and match the template update.Aiming at this problem,a block target tracking algorithm based on occlusion detection and multi-block position information fusion is proposed.Firstly,the target is divided into four blocks,and the four ones are combined with the target as a whole.Since the occlusion has the characteristics of local start and directivity,the ratio of correlation values between each block is calculated to determine whether and where the target is occluded.The update methods are utilized selectively,depending on whether the target is occluded.Finally,the position of the final target is determined according to each unblocked position information.The experiment indicates that the proposed algorithm can effectively determine whether the target is occluded and improve the tracking effect under occlusion.