Contour-based object tracking with occlusion handling in video acquired using mobile cameras

被引:305
作者
Yilmaz, A
Li, X
Shah, M
机构
[1] Univ Cent Florida, Sch Comp Sci, Orlando, FL 32816 USA
[2] Univ Cent Florida, Dept Math, Orlando, FL 32816 USA
关键词
contour tracking; shape priors; occlusion handling; level sets;
D O I
10.1109/TPAMI.2004.96
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a tracking method which tracks the complete object regions, adapts to changing visual features, and handles occlusions. Tracking is achieved by evolving the contour from frame to frame by minimizing some energy functional evaluated in the contour vicinity defined by a band. Our approach has two major components related to the visual features and the object shape. Visual features (color, texture) are modeled by semiparametric models and are fused using independent opinion polling. Shape priors consist of shape level sets and are used to recover the missing object regions during occlusion. We demonstrate the performance of our method on real sequences with and without object occlusions.
引用
收藏
页码:1531 / 1536
页数:6
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