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

页码：290 / 295

页数：6

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