Un filtre temporel crédibiliste pour la reconnaissance d'actions humaines dans les vidéos

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dc.creatorRamasso, Emmanuel
dc.creatorRombaut, Michèle
dc.creatorPellerin, Denis
dc.date2006-07-18
dc.date.accessioned2026-07-07T12:27:41Z
dc.date.available2026-07-07T12:27:41Z
dc.descriptionIn the context of human action recognition in video sequences, a temporal belief filter is presented. It allows to cope with human action disparity and low quality videos. The whole system of action recognition is based on the Transferable Belief Model (TBM) proposed by P. Smets. The TBM allows to explicitly model the doubt between actions. Furthermore, the TBM emphasizes the conflict which is exploited for action recognition. The filtering performance is assessed on real video sequences acquired by a moving camera and under several unknown view angles.
dc.description8 pages
dc.identifierhttps://arxiv.org/abs/cs/0607087
dc.identifierhttp://arxiv.org/abs/cs/0607087
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/215291
dc.subjectMultimedia
dc.titleUn filtre temporel crédibiliste pour la reconnaissance d'actions humaines dans les vidéos
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