Motion and feature-based video metamorphosis
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Visual Surveillance for Moving Vehicles
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Tracking Scale-Space Blobs for Video Description
IEEE MultiMedia
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SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
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ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
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EGVE'05 Proceedings of the 11th Eurographics conference on Virtual Environments
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Pattern Recognition and Image Analysis
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The paper describes how image sequences taken by a moving video camera may be processed to detect and track moving objects against a moving background in real-time. The motion segmentation and shape tracking system as known as ASSET-2-A Scene Segmenter Establishing Tracking, Version 2. Motion is found by tracking image features, and segmentation is based on first-order (i.e., six parameter) flow fields. Shape tracking is performed using two dimensional radial map representation. The system runs in real-time, and is accurate and reliable. It requires no camera calibration and no knowledge of the camera's motion.