TRACKING OF MULTIPLE INTERACTING OBJECTS USING A NOVEL PREDICTION MODEL

被引：0

作者：

Wang, Zhijie ^{[1
]}

Zhang, Hong ^{[1
]}

Ray, Nilanjan ^{[1
]}

机构：

[1] Univ Alberta, Dept Comp Sci, Edmonton, AB T6G 2E8, Canada

来源：

2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年

关键词：

Tracking; interacting objects; particle filter;

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：

Tracking multiple interacting objects is an interesting and difficult task in computer vision. Two common problems in this field are a single object with multiple tracks and a single track with multiple objects. Most of the existing algorithms address the first problem but not the second one. In this paper, to solve the second problem we propose a new algorithm with a novel prediction model, which exploits the idea of penalizing outliers in statistics. The experiments show that our proposed algorithm is more robust than the existing algorithms in tackling both the aforementioned problems.

引用

页码：869 / 872

页数：4

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