Kernel-based visual tracking with continuous adaptive distribution

被引：3
|
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：
OPTICAL ENGINEERING | 2009年 / 48卷 / 05期
基金：
中国国家自然科学基金;
关键词：
mean shift; CAMSHIFT; histogram backprojection;
D O I：
10.1117/1.3125423
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
The template updating problem of Kernel-based tracking (KBT) includes two aspects: target-scale update and target-model update. The proposed algorithm can update both tracking window's scale and target model by making use of continuous adaptive distribution. The ability of KBT can be complemented within its own framework with modest computation cost. The proposed tracking algorithm tries to get a balance between the stability of KBT and adaptability of CAMSHIFT for creating a robust tracker. c 2009 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3125423]
引用
收藏
页数：3
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