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dc.contributor.authorHan, Tony X.en
dc.contributor.authorXu, Yanwuen
dc.contributor.authorXu, Dongen
dc.contributor.authorLin, Stephenen
dc.contributor.authorCao, Xianbinen
dc.contributor.authorLi, Xuelongen
dc.identifier.citationXu, 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.en
dc.description.abstractIn 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.en
dc.relation.ispartofseriesIEEE transactions on systems, man, and cybernetics, part b (cybernetics)en
dc.rights© 2011 IEEE.en
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleDetection of sudden pedestrian crossings for driving assistance systemsen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Engineeringen
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