An Algorithm for Real-time Human Tracking Under Dynamic Scene
To track human target real-time under dynamic scene, an automatic target tracking system based on IP PTZ camera was designed and an algorithm for tracking human target based on the system was proposed. Adaptive three-frame subtraction method was used to detect moving object and Camshift combined with Kalman filter was utilized to track object automatically. As Camshift algorithm suffers from low color saturation and similar color clutter in background, the color histogram of the target was strengthen and color and motion information was integrated to improve the performance. The problem the target was completely occluded had been analyzed and an occlusion handler was given. Experimental results show that the algorithm was robust and reliable in different scenes.
dynamic scene human tracking Camshift Kalman Filter occlusion handle
Huang Shenzhi Sun Bin
Dept.of Information and Electronic Engineering Zhejiang University Hangzhou, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
2271-2274
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）