Abstract
This paper presents a system for the estimation of vehicle's trajectories in the context of real-time traffic video surveillance applications. The scene characteristics (regions of interest, scene depth and the circulation lanes) are assumed to be available. It is used together with a vehicle geometrical model during the vehicle detection, tracking and trajectory estimation phases to improve the robustness against the perspective and occlusion effects. It proposes a similarity criterion and a prediction phase based on the estimated typical trajectories and the circulation lanes. Experiments show that most of the time, the trajectories can be correctly estimated in real time.
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