We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
The necessary and sufficient conditions for being able to estimate scene structure, motion and camera calibration from a sequence of images are very rarely satisfied in practice. ...
Yi Ma, Stefano Soatto, Jana Kosecka, Shankar Sastr...
Active object tracking, for example, in surveillance tasks, becomes more and more important these days. Besides the tracking algorithms themselves methodologies have to be develop...
The acquisition of human motion data is of major importance for creating interactive virtual environments, intelligent user interfaces, and realistic computer animations. Today’...
Christian Theobalt, Marcus A. Magnor, Pascal Sch&u...
Abstract. This paper describes our ongoing research work on deviceless interaction using hand gesture recognition with a calibrated stereo system. Video-based interaction is one of...