Julián Ramos Cozar

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This paper presents a novel framework for objects detection in security and broadcast videos. Our method assumes that object classes are unknown in advance and exploit the temporal-space properties of the videos for the creation of a vocabulary that describes these classes. Local space-time features have recently became a popular video representation for(More)
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