摘要
针对视频序列中多目标的跟踪问题,提出一种基于mean-shift和粒子滤波的多目标混合跟踪算法,采用目标之间的距离门限和相似度门限,结合mean-shift算法和粒子滤波跟踪算法解决了目标遮挡的问题.实验结果表明,该算法能在保证多目标跟踪效果的同时减少跟踪的时间,有效提高了设计的跟踪系统的实时性.
Aiming at the problems of multi-target tracking in video sequence, a multi-target tracking algo-rithm based on mean-shift and particle filter is proposed, which resolves the problem of target shielding by adopting the distance threshold and similar degree threshold among the targets in combination with Mean-shift algorithm and particle filter tracking algorithm. Experiment results show that the multi-target tracking algo- rithm can reduce the tracking time while ensuring the effects of tracking multi-target, so that the capability of the designed tracking system is improved .
出处
《光电技术应用》
2009年第4期67-70,72,共5页
Electro-Optic Technology Application
