Context-Aware Activity Modeling Using Hierarchical Conditional Random Fields

In this paper, rather than modeling activities in videos individually, we jointly model and recognize related activities in a scene using both motion and context features. This is motivated from the observations that activities related in space and time rarely occur independently and can serve as th...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 37(2015), 7 vom: 14. Juli, Seite 1360-72
1. Verfasser:	Zhu, Yingying (VerfasserIn)
Weitere Verfasser:	Nayak, Nandita M, Roy-Chowdhury, Amit K
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2015
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article Research Support, U.S. Gov't, Non-P.H.S.