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JRM Vol.26 No.2 pp. 151-157
doi: 10.20965/jrm.2014.p0151
(2014)

Paper:

Person Detection Method Based on Color Layout in Real World Robot Challenge 2013

Kenji Yamauchi, Naoki Akai, Ryutaro Unai,
Kazumichi Inoue, and Koichi Ozaki

Utsunomiya University, 7-1-2 Yoto, Utsunomiya-City, Tochigi 321-8585, Japan

Received:
December 5, 2013
Accepted:
January 29, 2014
Published:
April 20, 2014
Keywords:
Real World Robot Challenge, autonomous mobile robot, image processing, person detection, color layout
Abstract

In Real World Robot Challenge 2013, a mission was added that had robots search for a person wearing clothes featuring unique colors. We focus on the layout of such clothes with the aim of detecting persons wearing them by applying color extraction. Color extraction is improved by preprocessing of a clipping image from the robot’s vision and possibly extracting colors worn by target persons stably in natural light. Persons are detected by simply evaluating the layout of target colors. Our robots were equipped with person detection for this challenge and have detected all targeted persons. This paper describes considerations about person detection performance based on pre- and postchallenge results.

Cite this article as:
K. Yamauchi, N. Akai, R. Unai, <. Inoue, and K. Ozaki, “Person Detection Method Based on Color Layout in Real World Robot Challenge 2013,” J. Robot. Mechatron., Vol.26, No.2, pp. 151-157, 2014.
Data files:
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  12. Supporting Online Materials:
  13. [a] CIE 1931 Chromaticity Diagram Map.
    http://people.cs.clemson.edu/ dhouse/courses/404/demos/cie.html
    [Accessed January 20, 2014]

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Last updated on Nov. 16, 2018