Detecting Pedestrians and Their Walk Directions Using a MY VISION System

• Main Authors: Joo Kooi Tan, Kenta Hori, Seiji Ishikawa
• Format: Article
• Language: English
• Published: Atlantis Press 2020-06-01
• Series: Journal of Robotics, Networking and Artificial Life (JRNAL)
• Subjects: MY VISION; ego-cameras; optical flow; MSC-HOG; HOF; pedestrian detection
• Online Access: https://www.atlantis-press.com/article/125941078/view

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.