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Sém LaBRI. Recognition and Tracking of Human Actions in Image Sequences
du groupe Séminaire du LaBRI

Date 2010-11-04  14:00-15:00
TitreSém LaBRI. Recognition and Tracking of Human Actions in Image Sequences 
RésuméRecent years have witnessed an unprecedented interest in the visual analysis of human motion that is stimulated by applications that include computer games, animated films and entertainment, human computer interaction, surveillance/security and multimedia retrieval. In this talk we will present an object tracking scheme in which the predictions of multiple observations are weighted by a probabilistic classifier that determines our expetation that the corresponding prediction is relevant/useful for the estimation of the state (position/scale/rotation) of the target. This is particularly useful in the case of large motions and occlusion, where many observations fall in areas that are far from the target. The proposed scheme derives both generative and discriminative tracking methods as special cases. We show the benefits in accuracy in presence of persistent occlusions and motion large in magnitude and briefly discuss the related applications. Time permitting we will present our recent work in discriminative action recognition and localisation, that is based on a part-based implicit shape model in which local parts vote for the location and scale of an action. 
LieuAmphi LaBRI 
OrateurIoannis Patras 
UrlQueen Mary University, UK 

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