Back to Search
Start Over
Detection of sudden pedestrian crossings for driving assistance systems.
- Source :
-
IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society [IEEE Trans Syst Man Cybern B Cybern] 2012 Jun; Vol. 42 (3), pp. 729-39. Date of Electronic Publication: 2011 Nov 30. - Publication Year :
- 2012
-
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.
Details
- Language :
- English
- ISSN :
- 1941-0492
- Volume :
- 42
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
- Publication Type :
- Academic Journal
- Accession number :
- 22147306
- Full Text :
- https://doi.org/10.1109/TSMCB.2011.2175726