DocumentCode :
1092965
Title :
A novel method for resolving vehicle occlusion in a monocular traffic-image sequence
Author :
Pang, Clement Chun Cheong ; Lam, William Wai Leung ; Yung, Nelson Hon Ching
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, China
Volume :
5
Issue :
3
fYear :
2004
Firstpage :
129
Lastpage :
141
Abstract :
This paper presents a novel method for resolving the occlusion of vehicles seen in a sequence of traffic images taken from a single roadside mounted camera. Its concept is built upon a previously proposed vehicle-segmentation method, which is able to extract the vehicle shape out of the background accurately without the effect of shadows and other visual artifacts. Based on the segmented shape and that the shape can be represented by a simple cubical model, we propose a two-step method: first, detect the curvature of the shape contour to generate a data set of the vehicles occluded and, second, decompose it into individual vehicle models using a vanishing point in three dimensions and the set of curvature points of the composite model. The proposed method has been tested on a number of monocular traffic-image sequences and found that it detects the presence of occlusion correctly and resolves most of the occlusion cases involving two vehicles. It only fails when the occlusion was very severe. Further analysis of vehicle dimension also shows that the average estimation accuracy for vehicle width, length, and height are 94.78%, 94.09%, and 95.44%, respectively.
Keywords :
computer vision; feature extraction; image representation; image segmentation; image sequences; road vehicles; cubical model; monocular traffic-image sequences; shape contour detection; shape representation; signature decomposition; single roadside mounted camera; vehicle occlusion; vehicle shape extraction; vehicle-segmentation method; Cameras; Image resolution; Image segmentation; Image sequences; Intelligent transportation systems; Road vehicles; Shape; Testing; Traffic control; Vehicle detection; Composite signature; curvature; monocular traffic image sequence; occlusion; signature decomposition; vanishing point;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2004.833769
Filename :
1331384
Link To Document :
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