arXiv (Cornell University) · 2012 · 15 citations · 21 references
ComputingComputer ScienceLinguisticsComputational LinguisticsNatural Language ProcessingSyntaxAction RecognitionLanguage ModelingObject RecognitionParsingSemantic RolesSyntactic AnalysisAnnotation Of Video DataEvent UnderstandingObjectsParticipant RelationsPrepositional Phrase StructurePrepositional Syntax
We present a system that produces sentential descriptions of video: who did what to whom, and where and how they did it. Action class is rendered as a verb, participant objects as noun phrases, properties of those objects as adjectival modifiers in those noun phrases,spatial relations between those participants as prepositional phrases, and characteristics of the event as prepositional-phrase adjuncts and adverbial modifiers. Extracting the information needed to render these linguistic entities requires an approach to event recognition that recovers object tracks, the track-to-role assignments, and changing body posture.
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Jianbo Shi, Tomasi · 1994 · 6.9K citations · Full text
Learning realistic human actions from movies
Ivan Laptev, Marcin Marszałek, Cordelia Schmid et al. · 2008 · 3.5K citations · Full text
Recognizing human actions: A local SVM approach
2004 · 2.9K citations