We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...
This paper presents an automatic video editing system based on head tracking for archiving meetings. Systems that archive meetings are attracting considerable interest. Convention...
The large number of rear end collisions due to driver inattention has been identified as a major automotive safety issue. In this paper, we describe a 3-phase vehicle tracking met...
A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need an...
Tracking of humans in videos is important for many applications. A major source of difficulty in performing this task is due to inter-human or scene occlusion. We present an appr...