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Erschienen in:
2007 | OriginalPaper | Buchkapitel
View-Invariant Modeling and Recognition of Human Actions Using Grammars
verfasst von : Abhijit S. Ogale, Alap Karapurkar, Yiannis Aloimonos
Erschienen in: Dynamical Vision
Verlag: Springer Berlin Heidelberg
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In this paper, we represent human actions as sentences generated by a language built on atomic body poses or phonemes. The knowledge of body pose is stored only implicitly as a set of silhouettes seen from multiple viewpoints; no explicit 3D poses or body models are used, and individual body parts are not identified. Actions and their constituent atomic poses are extracted from a set of multiview multiperson video sequences by an automatic keyframe selection process, and are used to automatically construct a probabilistic context-free grammar (PCFG), which encodes the syntax of the actions. Given a new single viewpoint video, we can parse it to recognize actions and changes in viewpoint simultaneously. Experimental results are provided.