Zoom-based head tracker in complex environment
Ten-Kai Kuo, Li‐Chen Fu, Jong-Hann Jean, Pei‐Ying Chen, Yu-Ming Chan · 2002
In this paper, we establish a nearly real-time surveillance tracking system, which is able to detect any person who intrudes to a prohibited area and lock his head image at the scene center. The entire underlying algorithm consists of a motion detector, an elliptical head tracking algorithm, auto-zooming ability, and a VPDA filter which is modified by probabilistic data association filter (PDA filter). The system operates about 35 ms and actively controls the camera platform pan and tilt motion to track a person in real environment.