Kernel based visual tracking with scale invariant features

被引：0
|
作者：
Han, Risheng [1 ]
Jing, Zhongliang [2 ]
Li, Yuanxiang [2 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Inst Aerosp Sci & Technol, Shanghai 200240, Peoples R China
来源：
CHINESE OPTICS LETTERS | 2008年 / 6卷 / 03期
关键词：
D O I：
暂无
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
The kernel based tracking has two disadvantages: the tracking window size cannot be adjusted efficiently, and the kernel based color distribution may not have enough ability to discriminate object from clutter background. For boosting up the feature's discriminating ability, both scale invariant features and kernel based color distribution features are used as descriptors of tracked object. The proposed algorithm can keep tracking object of varying scales even when the surrounding background is similar to the object's appearance.
引用
收藏
页码：168 / 171
页数：4
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