Fusion of color and shape for object tracking under varying illumination

被引：0
|
作者：
Moreno-Noguer, F [1 ]
Andrade-Cetto, J [1 ]
Sanfeliu, A [1 ]
机构：
[1] Univ Politecn Cataluna, Inst Robot Ind, E-08028 Barcelona, Spain
来源：
PATTERN RECOGNITION AND IMAGE ANALYSIS, PROCEEDINGS | 2003年 / 2652卷
关键词：
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：
In this paper a new technique to perform tracking in cluttered scenarios with varying illumination conditions is presented. The robustness of the approach lies in the integration of appearance and structural information of the object. The fusion is done using the CONDENSATION algorithm that formulates multiple hypothesis about the estimation of the object's color distribution and validates them taking into account the contour information of the object.
引用
收藏
页码：580 / 588
页数：9
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