Abstract
This paper presents a method for tracking and segmenting vehicles in a traffic scene. The approach is based on a frame to frame segmentation followed by a tracking process. As opposed to usual segmentation methods, our method feedbacks segmentation with tracking information for improving results. Several facilities are provided for traffic monitoring such as vehicles trajectories surveillance, segmentation of vehicle shape, measuring the mean velocity of the traffic, counting the vehicles that are moving on the lanes of a road or a motorway, counting the vehicles that stop at a junction and detection of events such as a vehicle stops on a road or a possible accident.
The present work was partially supported by the projects ESPRIT EP-21007 IOTA, CICYT TIC95-0676-C02-O1 and Generalitat Valenciana GV97-TI-05-26
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Badenas, J., Pla, F. (1998). Applying computer vision techniques to traffic monitoring tasks. In: Mira, J., del Pobil, A.P., Ali, M. (eds) Methodology and Tools in Knowledge-Based Systems. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64582-9_810
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DOI: https://doi.org/10.1007/3-540-64582-9_810
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