Real-time Traac Monitoring

Traac statistics desired by road engineers and planners , and \traac warning" systems demand real-time performance which precludes the use of batch processing. We apply recent real-time tracking techniques along with scene speciic tuning of the dynamics to enable the tracker to accurately predict target location and thus reduce the amount of search and/or image processing required. The beneets of learning dynamics for accurate prediction are speed { our tracker operates at frame rate { and smoothing of vibration. Initial calibration of the projective relationship between the image and ground planes enables metric information to be derived from the image positions and velocities without full camera calibration. Results are presented on real-world traac scenes showing the tracker to be both fast and robust to vibrations which are inevitable in traac locations.