Wheelchair-user Detection Combined with Parts-based Tracking

Ukyo Tanikawa, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Ryo Kawai

2017

Abstract

In recent years, there has been an increasing demand for automatic wheelchair-user detection from a surveillance video to support wheelchair users. However, it is difficult to detect them due to occlusions by surrounding pedestrians in a crowded scene. In this paper, we propose a detection method of wheelchair users robust to such occlusions. Concretely, in case the detector cannot a detect wheelchair user, the proposed method estimates his/her location by parts-based tracking based on parts relationship through time. This makes it possible to detect occluded wheelchair users even though he/she is heavily occluded. As a result of an experiment, the detection of wheelchair users with the proposed method achieved the highest accuracy in crowded scenes, compared with comparative methods.

Paper Citation

in Harvard Style

Tanikawa U., Kawanishi Y., Deguchi D., Ide I., Murase H. and Kawai R. (2017). Wheelchair-user Detection Combined with Parts-based Tracking . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-226-4, pages 165-172. DOI: 10.5220/0006101101650172

in Bibtex Style

@conference{visapp17,
author={Ukyo Tanikawa and Yasutomo Kawanishi and Daisuke Deguchi and Ichiro Ide and Hiroshi Murase and Ryo Kawai},
title={Wheelchair-user Detection Combined with Parts-based Tracking},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={165-172},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006101101650172},
isbn={978-989-758-226-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017)
TI - Wheelchair-user Detection Combined with Parts-based Tracking
SN - 978-989-758-226-4
AU - Tanikawa U.
AU - Kawanishi Y.
AU - Deguchi D.
AU - Ide I.
AU - Murase H.
AU - Kawai R.
PY - 2017
SP - 165
EP - 172
DO - 10.5220/0006101101650172