Occlusion and lack of visibility in dense crowded scenes make it very difficult to track individual people correctly and consistently. This problem is particularly hard to tackle i...
We extend the work of Black and Yacoob on the tracking and recognition of human facial expressions using parameterized models of optical flow to deal with the articulatedmotion of...
Actions in real world applications typically take place in cluttered environments with large variations in the orientation and scale of the actor. We present an approach to simult...
We present an approach to real-time person tracking in crowded and/or unknown environments using multi-modal integration. We combine stereo, color, and face detection modules into...
Trevor Darrell, Gaile G. Gordon, Michael Harville,...
We propose a marker-less model-based camera tracking approach, which makes use of GPU-assisted analysis-by-synthesis methods on a very wide field of view (e.g. fish-eye) camera. ...