多物体遮挡情况下的视觉跟踪算法  

Vision tracking algorithm under occlusion of multiple objects

作　　者：徐萧萧[1] 王智灵[1] 吴亮[1] 陈宗海[1] 

机构地区：[1]中国科学技术大学自动化系,合肥230027

出　　处：《控制与决策》2010年第2期291-294,298,共5页Control and Decision

基　　金：国家863计划项目(2009AA11A113)

摘　　要：针对视频监控中多运动物体间的遮挡问题,提出一种结合全局特征匹配与局部特征匹配的目标跟踪算法.该算法采用基于直方图和基于分块的方法共同表达目标的灰度特征.遮挡发生前实时进行遮挡预判,遮挡时采用基于块分类的方法跟踪目标,遮挡结束后通过直方图匹配重新定位目标.实验结果表明了该方法的有效性和优越性.To solve the occlusion problem of multiple moving objects in video surveillance,a target tracking algorithm based on combination of global feature matching and local feature matching is proposed. In this algorithm,the methods based on histogram and block segmentation are adopted to express gray features of the target. The occlusion is pre-judged before it happens. When there is occlusion,the gray features based on block segmentation are used to track target. After occlusion,the target is re-located by histgram matching. The experiment results show the effectiveness and superiority of the proposed approach.

关 键 词：视频监控 目标跟踪 直方图匹配 块分类 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]