This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Abstract. In the GRAAD project we are developing a knowledgebased system able of determine routes in a simulated urban environment and to generate natural language descriptions whi...
Bernard Moulin, Driss Kettani, Benjamin Gauthier, ...
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
We present a particle filter-based target tracking algorithm for FLIR imagery. A dual foreground and background model is proposed for target representation which supports robust ...
The growth of mobile technology has made recording of user’s location possible. The systems that intent to use location in order to register user’s movement and to use the gen...