Tracking Object Using Particle Filter and DCT Features

被引：0
|
作者：
Lin, Cong [1 ]
Pun, Chi-Man [1 ]
机构：
[1] Univ Macau, Fac Sci & Technol, Macau, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER SCIENCE AND ENGINEERING (CSE 2013) | 2013年 / 42卷
关键词：
Object tracking; particle filter; DCT;
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 proposed an object tracking method for video stream based on conventional particle filter. Feature vectors are extracted from coefficient matrices of Discrete Cosine Transform (DCT). The feature, as experiment showed, is very robust to occlusion and rotation and it is not sensitive to scale changes. The proposed method is efficient enough to be used in a real-time application. The experiment is carried out on some common used datasets in literature. The result is satisfied and showed the estimated trace follows the target object very closely.
引用
收藏
页码：162 / 164
页数：3
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