Detecting Pedestrians and Their Walk Directions Using a MY VISION System
- https://doi.org/10.2991/jrnal.k.200528.014How to use a DOI?
- MY VISION, ego-cameras, optical flow, MSC-HOG, HOF, pedestrian detection, walk direction
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.
- © 2020 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Joo Kooi Tan AU - Kenta Hori AU - Seiji Ishikawa PY - 2020 DA - 2020/06 TI - Detecting Pedestrians and Their Walk Directions Using a MY VISION System JO - Journal of Robotics, Networking and Artificial Life SP - 137 EP - 141 VL - 7 IS - 2 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.200528.014 DO - https://doi.org/10.2991/jrnal.k.200528.014 ID - Tan2020 ER -