摘要
提出一种新的单摄像机多目标跟踪方法,采用全局背景减法得到当前帧所有运动区域,利用kalman滤波器及局部背景减法得到已跟踪目标在当前帧的预测区域,根据全局减法运动区域及预测区域的位置及大小来判断是否有遮挡发生,并用不同匹配方法进行目标跟踪。实验表明,该方法能有效提高单摄像机跟踪对目标合并、遮挡等问题的处理能力。
The article puts forward a new method for multi-object tracking with single camera. All of the new object area can be obtained by using the overall background subtraction in current frame, then making use of kalman filter and partial background subtractions, potential object area is obtained .According to the position and size of the new object area and the potential object area, it judges whether there is merger or cover exit, and uses different match method to carry on object tracking. Experimental result shows the algorithms can solve the problems such as merger or cover effectively with single camera, and have strong ability in multi-object tracking.
出处
《计算机工程》
CAS
CSCD
北大核心
2008年第19期222-224,共3页
Computer Engineering
基金
安徽省"十五攻关"二期重大基金资助项目(60474035)
