摘要：

时空上下文目标跟踪算法在目标被完全遮挡时,会出现跟踪目标丢失的现象。为此,提出一种基于粒子滤波的改进时空上下文视觉跟踪算法。利用2个样本的颜色直方图计算出巴氏系数,并以此判断目标是否发生全局遮挡,当巴氏系数小于设定的阈值时,使用粒子滤波预测目 标跟踪结果。实验结果表明,与原时空上下文跟踪算法相比,该算法将跟踪成功率提高到85%以上,中心位置误差较小,且鲁棒性较好。

关键词: 目标遮挡, 粒子滤波, 时空上下文, 置信图, 视觉跟踪

Abstract:

When the target is completely occluded,the algorithm will appear to track the loss of the target.For this reason,an improved spatio-temporal context visual tracking algorithm based on particle filtering is proposed.The Bhattacharyya calculated from the color histograms of the two samples is used to determine whether the target has a global occlusion.When the Bhattacharyya is smaller than the set threshold,the algorithm uses particle filtering to predict the target tracking result.Experimental results show that compared with the original spatio-temporal context algorithm,the algorithm can improve the tracking success rate to more than 85%,the center position error is small,and the robustness is better.

Key words: target occlusion, particle filtering;spatio-temporal context;confidence map;visual tracking

中图分类号: 

• TP391