Improvement of Tracking Capability in the Mean Shift Tracker

摘要：

In order to resolve the poor performance of colorbased tracker for the fast rotating object in low-resolution vision, the search region of the tracker needs enlarging to a great extent, and the tracking loop requires setting to several times in very frame. Moreover, the states of the tracked object in high-resolution vision can be estimated from its incomplete observations in low-resolution vision by using the Kalman filter based on the optimized state-space model (SSM) identified by the maximum likelihood (ML) estimator.

作者: Xin Lu Kiyoshi Nishiyama

作者单位: Faculty of Engineering, Iwate University 4-3-5, Ueda, Morioka, 020-8551, Japan

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1157-1160

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）