Detecting a Human Body Direction Using a Feature Selection Method

被引：0

作者：

Nakashima, Yuuki ^{[1
]}

Tan, Joo Kooi ^{[1
]}

Ishikawa, Seiji ^{[1
]}

Morie, Takashi ^{[2
]}

机构：

[1] Kyushu Inst Technol, Dept Mech & Control Engn, Kitakyushu, Fukuoka 804, Japan

[2] Kyushu Inst Technol, Sch Brain Sci & Engn, Kitakyushu, Fukuoka, Japan

来源：

INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2010) | 2010年

关键词：

Human body direction recognition; HOG; AdaBoost; variance between classes; SVM;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes a novel technique for detecting a human body direction using SVM constructed by HOG feature selected by AdaBoost. HOG feature is well-known feature for the robust judgment of a human. We employ the feature for detecting a human body direction. We compared some feature selecting methods with the previous one. Experimental results show effectiveness of the proposed method.

引用

页码：1424 / 1427

页数：4

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