A Particle Filtering For 3D Human Hand Tracking

被引：0

作者：

Feng, Zhiquan ^{[1
]}

Yang, Bo ^{[1
]}

Chen, Yuehui ^{[1
]}

Jiang, Yan ^{[1
]}

Xu, Tao ^{[1
]}

Tang, Haokui ^{[1
]}

机构：

[1] Univ Jinan, Sch Informat Sci & Engn, Jinan 250022, Peoples R China

来源：

PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE FOR YOUNG COMPUTER SCIENTISTS, VOLS 1-5 | 2008年

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A novel sampling method is put forward in this paper. Firstly under specific human-computer conditions, both cognitive psychology features of operators and motion features of the operators' hands are studied, upon which a basic assumption is made. Then, a sampling algorithm is put forward. Finally, in order to demonstrate validity and performance of our algorithm, a great deal of experiments is completed. By using fewer particles, compared with conventional particle filtering, the approach presented in this paper may achieve better tracking precision. Informs of both the theoretical analysis and a great deal of experimental results from real video data, just a few particles are needed to describe post probability distribution of state variables without reducing the tracking precision by our dimensionality reduction method.

引用

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页码：1279 / 1284

页数：6

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