本文针对摄像机运动情况下的多目标跟踪问题，提出了基于粒子滤波的跟踪算法。在粒子滤波算法基础上，将二阶自回归过程作为系统状态转移模型，HSV 颜色直方图作为观测模型，对视频中多个目标的位置、大小进行跟踪。实验结果表明，该算法能实时正确地跟踪多个目标，并对局部遮挡有较好的鲁棒性，也能在目标短暂消失导致跟踪失败后，在目标重新出现后及时捕获并继续进行跟踪。-A tracking algorithm based on particle filter is proposed to deal with multi-target tracking in a camera motion situation. In the

proposed algorithm, the position and scale of targets in the video are tracked by using a second-order auto-regressive process as the transition

model and an HSV histogram as the observation model. Experimental results show that the proposed algorithm can track multitarget

correctly in real-time and is robust to the partial occlusion. In addition, it can recover from tracking failure due to the target out of camera for a while.