Robust visual tracking by an active observer
作者： A. Arsenio , J. Santos-Victor
关键词: Robotics 、 Kalman filter 、 Computer vision 、 Monocular 、 Eye tracking 、 Teleoperation 、 Computer science 、 Artificial intelligence 、 Active vision 、 Observer (quantum physics) 、 Tracking system
摘要: In this paper we address the problem of tracking a moving target by monocular observer. The ability to track object has many applications in robotics, teleoperation, surveillance systems, human-machine interfaces, etc. Our goal was development robust system for practical (industrial) and therefore based on inexpensive hardware. strategy present is integration correlation techniques together with active contours, using Kalman filtering approach. overall operating frequency about 6 Hz. both changes illumination multiple objects cluttered environments. Results are presented discussed.
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