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Because they have neither well defined shapes nor well defined behaviors, detecting, tracking and classifying pedestrians in a dense urban environment from a moving vehicle remains a difficult task. This is especially true when people are standing or walking very close from one another. Indeed, because of occlusions, pedestrians are then usually very difficult to discriminate and several pedestrians...
Detecting and tracking pedestrians accurately is essential to design efficient and robust collision avoidance systems. But traditional approaches to pedestrian detection and tracking in dense urban environments suffer from tracking failures and wrong classifications. We propose in this paper a system that recursively estimates the true outlines of every tracked target using a set of segments called...
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