Human motion capture has lately been the object of much attention due to commercial interests. A ”touch free” computer vision solution to the problem is desirable to avoid the...
A computer vision system for tracking multiple people in relatively unconstrained environments is described. Trackerformed at three levels of abstraction: regions, people and grou...
Stephen J. McKenna, Sumer Jabri, Zoran Duric, Harr...
Within the past decade, significant effort has occurred in developing methods of facial expression analysis. Because most investigators have used relatively limited data sets, the...
A new hand gesture recognition method based on Input– Output Hidden Markov Models is presented. This method deals with the dynamic aspects of gestures. Gestures are extracted fr...
We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated video sequences. The proposed method relies on a 3D/2D matchi...
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
In this paper, we investigate recognition of human faces in a meeting room. The major challenges of identifying human faces in this environment include low quality of input images...
This paper presents a new technique for the perception of activities using statistical description of spatio-temporal properties. With this approach, the probability of an activit...