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.
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页码：559 / 567
页数：8
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