Human detection in top-view images using only color features

被引：0

作者：

Miyamoto R. ^{[1
]}

Yokokawa H. ^{[1
,2
]}

Oki T. ^{[1
]}

Yomo H. ^{[3
]}

Hara S. ^{[4
]}

机构：

[1] School of Science and Technology, Meiji University

[2] Graduate School of Science and Technology, Meiji University

[3] Faculty of Engineering Science, Kansai University

[4] Graduate School of Engineering, Osaka City University

来源：

| 1600年 / Institute of Image Electronics Engineers of Japan卷 / 46期

关键词：

CG; Color feature; Human detection; Informed-filters;

D O I：

10.11371/iieej.46.559

中图分类号：

学科分类号：

摘要：

Real-time vital sensing during exercise using sensor nodes attached to humans is a challenging problem because the density and the moving speed of the sensor nodes are very high. To solve this problem, the authors are trying to construct a novel routing scheme for multi-hop networking named "image-assited routing" that obtains locations of sensor nodes by image-based human detection. This paper shows that accurate detection required for the image-assisted routing can be achieved if top-view images are used for human detection. To evaluate detection accuracy in top-view images, a CG-based data set was construced using actual human motions during exercise. Experimental results using the constructed dataset showed that a detector trained with only color features selected by informed-filters achieved about 0.83% miss rate at 0.1 FPPI by exhausitive search based on sliding windows. © 2017 Web Portal J-Stage. All rights reserved.

引用

页码：559 / 567

页数：8

共 14 条

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