Gait Recognition Based on Multi-Resolution Regional Shape Context

被引：0

作者：

Zhai, Yanbo ^{[1
]}

Jia, Yulan ^{[1
]}

Qi, Chun ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, Inst Telecommun, Xian 710049, Peoples R China

来源：

PROCEEDINGS OF THE 2009 CHINESE CONFERENCE ON PATTERN RECOGNITION AND THE FIRST CJK JOINT WORKSHOP ON PATTERN RECOGNITION, VOLS 1 AND 2 | 2009年

关键词：

gait recognition; key joints; shape context; multi-resolution;

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, a gait recognition algorithm based on multi-resolution regional shape context is proposed. Taking binary silhouettes as input, according to human anatomy knowledge, some key joints on human body are selected, then the shape context which counts regional pixel with multi-resolution and different support region, is used to extract the environmental characteristics of these joints, finally their mean values are computed to reflect the static and dynamic information of gait. Experiment results on NLPR database show that the proposed algorithm has an encouraging performance.

引用

页码：548 / 552

页数：5

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