Short-term memory-based object tracking

被引：0
|
作者：
Kang, HB [1 ]
Cho, SH [1 ]
机构：
[1] Catholic Univ, Dept Comp Engn, Puchon, South Korea
来源：
IMAGE ANALYSIS AND RECOGNITION, PT 2, PROCEEDINGS | 2004年 / 3212卷
关键词：
object-tracking; color-based particle filtering; short-term memory; appearance changes;
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, we propose a new tracking method that adapts itself to suddenly changing appearance. The proposed method is based on color-based particle filtering. A short-term memory model is introduced to handle the cases of sudden appearance changes, occlusion, disappearance and reappearance of tracked objects. A new target model update method is implemented. Our method is robust and versatile for a modest computational cost. Desirable tracking results are obtained.
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页码：597 / 605
页数：9
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