Kernel Based Visual Tracking with Reasoning about Adaptive Distribution Image

被引：0
|
作者：
Han, Risheng [1 ]
机构：
[1] Jiaxing Univ, Coll Math Phys & Informat Engn, Jiaxing, Zhejiang, Peoples R China
来源：
ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT III | 2011年 / 7004卷
关键词：
Mean Shift; Adaptive Distribution; Template Updating;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A template updating reasoning engine which can deal with fundamental constraints on the spatial-temporal continuity of target's motion is proposed. By analyzing target's continuously adaptive distributions image, a voting method can estimate the tracking window's scale. In updating phase, by making further computation of likelihood of target model and candidate model, both the model and scale can be automatically updated in time. The tracking ability of KBT can be improved.
引用
收藏
页码：529 / 536
页数：8
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