In this paper, we address the problem of motion recognition using event-based local motion representations. We assume that similar patterns of motion contain similar events with c...
The notion of local features in space-time has recently been proposed to capture and describe local events in video. When computing space-time descriptors, however, the result may...
This paper presents a framework for recognising realistic human actions captured from unconstrained environments. The novelties of this work lie in three aspects. First, we propos...
Matteo Bregonzio, Jian Li, Shaogang Gong, Tao Xian...
Abstract. This paper proposes a local motion-based approach for recognizing group activities in soccer videos. Given the SIFT keypoint matches on two successive frames, we propose ...
Analysis of videos of human-object interactions involves understanding human movements, locating and recognizing objects and observing the effects of human movements on those obje...