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Kyushu Institute of Technology
Kyushu Institute of Technology
Kyushu Institute of Technology
抄録
This paper proposes a pedestrian detection method using a MY VISION system. The MY VISION system is an image processing system using an ego-camera which a user of the system possesses, and it is expected to be the third eye of those who are aged, visually impaired or even those who are absorbed in a mobile-phone while walking. In the proposed method, a flow area different from camera movement is extracted first on the image provided from a user’s head-mounted camera. The area is a candidate area where pedestrians may exist. Multiple scale cell-histograms of oriented gradients features are then calculated to detect pedestrians in the area. Histograms of optical flow feature is further computed to recognize the moving direction of the detected pedestrians. The proposed method was examined its performance experimentally and satisfactory results were obtained.
雑誌名
Journal of Robotics, Networking and Artificial Life
巻
7
号
2
ページ
137 - 141
発行年
2020-06-04
出版者
Atlantis Press
ISSN
2352-6386
2405-9021
DOI
https://doi.org/10.2991/jrnal.k.200528.014
権利
Copyright (c) 2020 The Authors. Published by Atlantis Press SARL.
CC BY-NC 4.0 license
http://creativecommons.org/licenses/by-nc/4.0/
Detecting Pedestrians and Their Walk Directions Using a MY VISION System
jrnal.k.200528.014.pdf
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