Improved mean shift algorithm for occlusion pedestrian tracking
Improved mean shift algorithm for occlusion pedestrian tracking
复制标题
遮挡行人跟踪的改进均值平移算法
DOI：
10.1049/el:20080064
复制
发表时间：
2008-05
影响因子：
1.1
通讯作者：
中科院分区：
文献类型：
--
作者：
遮挡行人跟踪一直是视频监控中的一个难题，传统的均值漂移跟踪算法无法有效跟踪这类目标。针对这一问题，提出了一种改进的均值漂移跟踪方法.对传统的均值漂移跟踪算法进行了两方面的改进。首先，利用遮挡层来表示行人的遮挡关系，根据遮挡关系得到行人的非遮挡部分，并将其用于均值漂移跟踪算法。其次，在跟踪过程中，逐步调整相关遮挡行人的状态，以消除遮挡效应。对比实验结果表明，改进算法能够真实的跟踪传统均值漂移跟踪算法无法跟踪的遮挡行人。
Occlusion pedestrian tracking is still a difficult problem in video surveillance, while traditional mean shift tracking algorithms fail to track these kinds of targets. Proposed is an improved mean shift tracking approach to solve this problem. Two aspects are improved for the traditional mean shift tracking algorithm. First, occlusion layers are used to represent pedestrian occlusion relation and the non-occlusion part of each pedestrian which is obtained according to occlusion relation is used for the mean shift tracking algorithm. Secondly, the states of the related occlusion pedestrians are gradually adjusted one by one to eliminate the occlusion effect, during the tracking process. The contrast experiment results show that the improved algorithm is real time for well tracking the occlusion pedestrians which cannot be tracked by the traditional mean shift tracking algorithm.
DOI：
10.1109/34.1000236
发表时间：
2002-05-01
影响因子：
23.6
作者：
Comaniciu, D;Meer, P
通讯作者：
Meer, P
DOI：
10.1109/34.868677
发表时间：
2000-08-01
影响因子：
23.6
作者：
Stauffer, C;Grimson, WEL
通讯作者：
Grimson, WEL
DOI：
10.1109/tpami.2006.178
发表时间：
2006-09-01
影响因子：
23.6
作者：
Lv, Fengjun;Zhao, Tao;Nevatia, Ramakant
通讯作者：
Nevatia, Ramakant