Research in visual surveillance systems is shifting from using few stationary, passive cameras to employing large heterogeneous sensor networks. One promising type of sensor in pa...
In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
Abstract. In this paper our purpose is to present some solutions to multiple object tracking in an image sequence with a real time constraint and a possible mobile camera. We propo...
Abstract. Robust tracking of objects in video is a key challenge in computer vision with applications in automated surveillance, video indexing, human-computer-interaction, gesture...
Pankaj Kumar, Michael J. Brooks, Anton van den Hen...
Tracking speakers in multiparty conversations constitutes a fundamental task for automatic meeting analysis. In this paper, we present a probabilistic approach to jointly track th...
Daniel Gatica-Perez, Guillaume Lathoud, Jean-Marc ...