Publication Type:

Journal Article

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

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.

Notes:

cited By 0

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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