Publication Type : Journal Article
Publisher : International Journal of Control Theory and Applications Serials Publications.
Source : International Journal of Control Theory and Applications, Serials Publications, Volume 9, Number 15, p.7369-7375 (2016)
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electrical and Electronics, Mechanical Engineering
Year : 2016
Abstract : Advanced Driver Assistance System (ADAS) has developed further from just improving traffic safety to an area to help the driver to anticipate accidents. The Pedestrian Protection System (PPS) is a part of ADAS that alerts the driver once the pedestrian is detected. This paper suggests an approach for detecting pedestrians from a real time video and performing braking action once detected. Real time video is captured and the moving background is first modeled. Foreground segmentation is performed on a modeled background. Blob analysis is performed on the foreground pixels to detect the presence of pedestrian. As a control action an alert is given acoustically and braking is performed by actuating the brake pedals using a controller and actuator as a further measure. © International Science Press.
Cite this Research Publication : A. K. Sandeep, Nithin S, and Dr. K. I. Ramachandran, “An image processing based pedestrian detection system for driver assistance”, International Journal of Control Theory and Applications, vol. 9, pp. 7369-7375, 2016.