Robust Detection and Tracking of Human Faces with an Active Camera
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Programming Industrial Control Systems Using Iec 1131-3 (I E E Control Engineering Series)
Programming Industrial Control Systems Using Iec 1131-3 (I E E Control Engineering Series)
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Active visual tracking is used to direct the attention of the camera to an object and maintain it in the camera's field of view. A steered camera is used to decrease relative motion of the target in the image plane. This leads to better performance of the mean-shift based tracking algorithm, which requires the object tracked in the current and the previous frame to overlap. A classical PID controller and a nonlinear fuzzy controller have been tested in steering the camera head.