Description
In many applications, computer vision based analysis of motion, gestures, and facial expressions of groups of people is desired. Current techniques are still limited to a single person, and to fixed position in front of a camera. The ability to robustly track persons in rooms opens many new applications. 
     The objectives of the project are to develop fast and robust algorithms that can detect, track, and model accurately and robustly individual persons in the real 3D world, to recognize gestures and motion of individuals, identify the interaction between persons such as looking or gesturing at each other, and to design interaction between humans and computer systems. For all these techniques we will first choose application domains, in order to identify the needs, and to evaluate the methods against the requirements. 
      The expected results are techniques for tracking people and fitting body models, for gesture tracking and recognition, and for face and eye tracking and expression recognition. Building upon these methods, we will show proof of concept with a spatial game, a gesture-driven presentation environment, and a communication pattern observation tool. 

Project participants
Utrecht University, Delft University of Technology

Project leader
Dr. Remco Veltkamp, Utrecht University. Email: remcov(at)cs.uu.nl