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An image processing based pedestrian detection system for driver assistance

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)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006001773&partnerID=40&md5=d7d1f2c88c94243a9ced5c15314a7ea8

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Mechanical Engineering, Electrical and Electronics

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.

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