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Decreasing traffic accidents and events are one of the most significant responsibilities for most of the government in the world. Nevertheless, it is hard to precisely predict the traffic condition. In order to understand the real cause of traffic accidents and restore the occurrence of traffic events, a traffic monitor and event analysis mechanism based on 3D video processing techniques is proposed...
In this paper we propose an automatic vehicle tracking method for monitoring traffic intersections. The method uses a weighted combination of low-level features and low-level human-visual-system (HVS) modeling. Given an input video, moving vehicles are first detected from the scene and low-level features are extracted from the detected vehicles. Next, each detected region in the current video frame...
This paper presents the novel algorithms for a video-based traffic monitoring system. In the video-based traffic monitoring system, the vehicle detection and traffic parameter extraction are the main processes of the traffic monitoring system. The vehicles will be extracted in the first process, and the result will be fed as an input to the next process in order to evaluate the traffic information...
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