Ricardo Guerrero-Gómez-Olmedo

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We address the problem of vehicle detection and tracking for traffic monitoring in Smart City applications. We introduce a novel approach for vehicle tracking by simultaneous detection and viewpoint estimation. An Extended Kalman Filter (EKF) is adapted to describe the vehicle's motion when not only the pose of the object is measured, but also its viewpoint(More)
The challenging problem that we explore in this paper is to precisely estimate the number of vehicles in an image of a traffic congestion situation. We start introducing TRANCOS, a novel database for extremely overlapping vehicle counting. It provides more than 1200 images where the number of vehicles and their locations have been annotated. We establish a(More)
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