Visual Object Tracking Based on Filtering Methods

被引:0
|
作者
Wang, Kun [1 ]
Liu, Xiaoping P. [1 ]
机构
[1] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada
来源
2011 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC) | 2011年
关键词
filtering and data association; particle filter; system transition model; visual object tracking;
D O I
暂无
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Visual object tracking is an important, but open research topic in many practical applications. In this paper, the particle filter, a filtering algorithm based on the sequential-importance-sampling (SIS), is developed and implemented with different modifications to the transition models and constraint conditions. By applying the particle filter into a typical object tracking task, several experimental results are obtained and the feasibility of the modified particle filter is verified.
引用
收藏
页码:290 / 295
页数:6
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