—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
This paper addresses the problem of classifying actions performed by a human subject in a video sequence. A representation eigenspace approach based on the visual appearance is us...
Carlo Colombo, Dario Comanducci, Alberto Del Bimbo
Abstract. The recognition of events in videos is a relevant and challenging task of automatic semantic video analysis. At present one of the most successful frameworks, used for ob...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
For the huge amounts of audio and video material that could usefully be included in digital libraries, the cost of producing human-generated annotations and meta-data is prohibiti...
Alexander G. Hauptmann, Michael J. Witbrock, Micha...
Recognizing human action in non-instrumented video is a challenging task not only because of the variability produced by general scene factors like illumination, background, occlu...