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Authors: Fumito Shinmura 1 ; Daisuke Deguchi 1 ; Ichiro Ide 1 ; Hiroshi Murase 1 and Hironobu Fujiyoshi 2

Affiliations: 1 Nagoya University, Japan ; 2 Chubu University, Japan

ISBN: 978-989-758-090-1

Keyword(s): Human Orientation Estimation, Single-chip RGB-ToF Camera, RGB-D.

Abstract: Estimation of human orientation contributes to improving the accuracy of human behavior recognition. However, estimation of human orientation is a challenging task because of the variable appearance of the human body. The wide variety of poses, sizes and clothes combined with a complicated background degrades the estimation accuracy. Therefore, we propose a method for estimating human orientation using coaxial RGB-Depth images. This paper proposes Depth Weighted Histogram of Oriented Gradients (DWHOG) feature calculated from RGB and depth images. By using a depth image, the outline of a human body and the texture of a background can be easily distinguished. In the proposed method, a region having a large depth gradient is given a large weight. Therefore, features at the outline of the human body are enhanced, allowing robust estimation even with complex backgrounds. In order to combine RGB and depth images, we utilize a newly available single-chip RGB-ToF camera, which can capture bot h RGB and depth images taken along the same optical axis. We experimentally confirmed that the proposed method can estimate human orientation robustly to complex backgrounds, compared to a method using conventional HOG features. (More)

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Paper citation in several formats:
Shinmura, F.; Deguchi, D.; Ide, I.; Murase, H. and Fujiyoshi, H. (2015). Estimation of Human Orientation using Coaxial RGB-Depth Images.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 113-120. DOI: 10.5220/0005305301130120

@conference{visapp15,
author={Fumito Shinmura. and Daisuke Deguchi. and Ichiro Ide. and Hiroshi Murase. and Hironobu Fujiyoshi.},
title={Estimation of Human Orientation using Coaxial RGB-Depth Images},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={113-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005305301130120},
isbn={978-989-758-090-1},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - Estimation of Human Orientation using Coaxial RGB-Depth Images
SN - 978-989-758-090-1
AU - Shinmura, F.
AU - Deguchi, D.
AU - Ide, I.
AU - Murase, H.
AU - Fujiyoshi, H.
PY - 2015
SP - 113
EP - 120
DO - 10.5220/0005305301130120

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