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This paper presents a framework for unsupervised video analysis in the context of dance performances, where gestures and 3D movements of a dancer are characterized by repetition of a set of unknown dance figures. The system is trained in an unsupervised manner using hidden Markov models (HMMs) to automatically segment multiview video recordings of a dancer into recurring elementary temporal body motion...
The problem of restoring images degraded by space-invariant blurs and noise is addressed. Two approaches, one based on Kalman filtering and the other on projection onto convex sets (POCS), are proposed. The Kalman filtering approach modifies the image model used in the usual reduced-order model Kalman filtering (ROMKF) approach to obtain a more accurate representation of the image distribution. The...
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