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	Provedor de dados ArchiMer (1) Autor Bouthemy, P (1) Fablet, Ronan (1) Palavra-chave Co occurrences (1) Gibbs models (1) ML criterion (1) Motion recognition (1) Multiscale analysis (1) Nonparametric motion analysis (1) Mais... Tipo do documento Text (1) Ano 2003 (1) País France (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Motion recognition using nonparametric image motion models estimated from temporal and multiscale co-occurrence statistics ArchiMer Fablet, Ronan; Bouthemy, P. A new approach for motion characterization in image sequences is presented. It relies on the probabilistic modeling of temporal and scale co-occurrence distributions of local motion-related measurements directly computed over image sequences. Temporal multiscale Gibbs models allow us to handle both spatial and temporal aspects of image motion content within a unified statistical framework. Since this modeling mainly involves the scalar product between co-occurrence values and Gibbs potentials, we can formulate and address several fundamental issues: model estimation according to the ML criterion (hence, model training and learning) and motion classification. We have conducted motion recognition experiments over a large set of real image sequences... Tipo: Text Palavras-chave: Nonparametric motion analysis; Motion recognition; Multiscale analysis; Gibbs models; Co occurrences; ML criterion. Ano: 2003 URL: http://archimer.ifremer.fr/doc/00000/10714/9323.pdf Registros recuperados: 1 Primeira ... 1 ... Última

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