Hand Tracking by Particle Filtering with Elite Particles Mean Shift

被引：13

作者：

Zhong, Shengtong ^{[1
]}

Hao, Fei ^{[2
]}

机构：

[1] Norwegian Univ Sci & Technol, Dept Comp & Informat Sci, NO-7491 Trondheim, Norway

[2] Korea Adv Inst Sci & Technol, Dept Comp Sci, Taejon 305701, South Korea

来源：

FCST: 2008 JAPAN-CHINA JOINT WORKSHOP ON FRONTIER OF COMPUTER SCIENCE AND TECHNOLOGY, PROCEEDINGS | 2008年

关键词：

Hand Tracking; Particle Filtering; Elite Particles; Mean Shift;

D O I：

10.1109/FCST.2008.9

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents an improved particle filtering for hand tracking in a video sequence in real time. In this method, we incorporate mean shift process of elite particles into conventional particle filtering for hand tacking which aims to improve the tracking efficiency. The elite particles are chosen from the particles with higher weights based on observation model. The proposed method can significantly improve the tracking performance, as well as reducing the computational cost compared to conventional particle filtering. Experiments result of the hand tracking show the effectiveness of proposed method.

引用

页码：163 / +

页数：2

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