IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-parametric Model for Background Subtraction
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
W4: Who? When? Where? What? A Real Time System for Detecting and Tracking People
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Camera handoff: tracking in multiple uncalibrated stationary cameras
HUMO '00 Proceedings of the Workshop on Human Motion (HUMO'00)
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
Metric calibration of a stereo rig
VSR '95 Proceedings of the IEEE Workshop on Representation of Visual Scenes
Active Surveillance Using Dynamic Background Subtraction
Active Surveillance Using Dynamic Background Subtraction
Tracking many objects with many sensors
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Design of a wireless remote monitoring and object tracking robot
Robotics and Autonomous Systems
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In automated surveillance systems with multiple cameras, the system must be able to position the cameras accurately. Each camera must be able to pan-tilt such that an object detected in the scene is in a vantage position in the camera's image plane and subsequently capture images of that object. Typically, camera calibration is required. We propose an approach that uses only image-based information. Each camera is assigned a pan-tilt zero-position. Position of an object detected in one camera is related to the other cameras by homographies between the zero-positions while different pan-tilt positions of the same camera are related in the form of projective rotations. We then derive that the trajectories in the image plane corresponding to these projective rotations are approximately circular for pan and linear for tilt. The camera control technique is subsequently tested in a working prototype.