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This paper describes a vehicle tracking method that uses texture, color, size, distance and trajectory as modeling features. Before the tracking task starts, a representation to detect the target vehicles is constructed. Two methods are used to perform vehicle detection. The first method uses color, texture and a background model to detect the vehicle regions. The second one uses texture and lightness...
This paper presents methods for vision-based detection and tracking of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. The goal of this research is to develop suitable methods for automatic visual traffic surveillance to perform detection, tracking and traffic parameter estimation of multiple vehicles in real time as well as tackle environment illumination...
The automatic lane marking detection, vehicle detection and incident detection systems are proposed in this paper. The block-based background extraction that combines statistical algorithm and the moving block information is used to obtain the color background image more exactly. The lane detection algorithm is applied to obtain the lane information from the color background image without the limitation...
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