Model-based object tracking in monocular image sequences of road traffic scenes
International Journal of Computer Vision
Evaluation of Binarization Methods for Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Efficient moving object segmentation algorithm using background registration technique
IEEE Transactions on Circuits and Systems for Video Technology
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This paper describes a tracking system for multiple movingobjects undergoing a planar motion in a scene observedby a still camera. The objects are tracked through a sequenceof frames. The direction and velocity of each objectare calculated between each pair of frames and are used topredict the position of the object in the next frame. The calibrationprocedure and the problems due to the presenceof noise and shadows in the images are also addressed andthe adopted strategies are detailed. Our system has successfullybeen tested on a fish tracking application and is currentlyused to study the behavior of the fish in response tochanges in environmental conditions.