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|Title:||Detection of sudden pedestrian crossings for driving assistance systems||Authors:||Han, Tony X.
|Keywords:||DRNTU::Engineering::Electrical and electronic engineering||Issue Date:||2011||Source:||Xu, Y., Xu, D., Lin, S., Han, T. X., Cao, X., & Li, X. (2012). Detection of Sudden Pedestrian Crossings for Driving Assistance Systems. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 42(3), 729-739.||Series/Report no.:||IEEE transactions on systems, man, and cybernetics, part b (cybernetics)||Abstract:||In this paper, we study the problem of detecting sudden pedestrian crossings to assist drivers in avoiding accidents. This application has two major requirements: to detect crossing pedestrians as early as possible just as they enter the view of the car-mounted camera and to maintain a false alarm rate as low as possible for practical purposes. Although many current sliding-window-based approaches using various features and classification algorithms have been proposed for image-/video-based pedestrian detection, their performance in terms of accuracy and processing speed falls far short of practical application requirements. To address this problem, we propose a three-level coarse-to-fine video-based framework that detects partially visible pedestrians just as they enter the camera view, with low false alarm rate and high speed. The framework is tested on a new collection of high-resolution videos captured from a moving vehicle and yields a performance better than that of state-of-the-art pedestrian detection while running at a frame rate of 55 fps.||URI:||https://hdl.handle.net/10356/97129
|ISSN:||1083-4419||DOI:||10.1109/TSMCB.2011.2175726||Rights:||© 2011 IEEE.||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||SCSE Journal Articles|
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