Object Tracking Using a Particle Filter with SURF Feature

被引：0

作者：

Shinfeng D.Lin ^{[1
]}

Yu-Ting Jiang ^{[1
]}

Jia-Jen Lin ^{[1
]}

机构：

[1] Department of Computer Science and Information Engineering, National Dong Hwa University

来源：

Journal of Electronic Science and Technology | 2014年 / 03期

关键词：

Object tracking; occlusion; particle filter; SURF feature;

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

In this paper, a novel object tracking based on a particle filter and speeded up robust feature(SURF) is proposed, which uses both color and SURF features. The SURF feature makes the tracking result more robust. On the other hand, the particle selection can lead to save time. In addition, we also consider the matched particle applicable to calculating the SURF weight. Owing to the color, spatial, and SURF features being adopted, this method is more robust than the traditional color-based appearance model. Experimental results demonstrate the robustness and accurate tracking results with challenging sequences.Besides, the proposed method outperforms other methods during the intersection of similar color and object’s partial occlusion.

引用

页码：339 / 344

页数：6