A Real-Time Tracking Algorithm based on Gray Distribution and Distance Kernel Space

摘要：

The application of the traditional Camshift algorithm, which exhibits a good tracking performance in case of the obvious color characters, meanwhile, is limited in the target tracking in the color space. In the paper, a fast tracking algorithm based on gray value distribution and distance kernel space is proposed. A 1.5D gray histogram method is designed to describe the model of moving object, which improves the reduction of computation for the back projection and real-time tracking performance. Moreover, a distance kernel function, describing the object weights, is constructed so as to handle the background disturbance and occlusion problem. Experiment results demonstrate the efficiency of proposed algorithm, that it can achieve a fast object tracking and resist background disturbance in some level.

关键词： object tracking spatial histogram kernel space Camshaft

作者: Weixing Li Feng Pan Kai Zhou Qi Gao

作者单位: School of Automation, Beijing Institute of Technology. Beijing, 100081 Beijing Key Laboratory of Automatic Control System (Beijing Institute of Technology), Beijing, 100081

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 253-256

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）