Robust head pose estimation by machine learning
Ce Wang, M.S. Brandstein · 2002
Support vector machines are applied for estimating the head orientation angle of talkers in a video environment. The procedure is capable of accurately evaluating head orientations over a complete 360 degree interval and has been designed to function as part of an existing real-time, multi-talker tracking system. By relying on a facial criterion that is easily extracted from video images acquired across a range of lighting and zooming conditions, the estimator is designed to be effective in practical situations such as those encountered in video conferencing or surveillance scenarios.