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» Combined visual attention model for video sequences
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ECCV
2008
Springer
14 years 11 months ago
Event Modeling and Recognition Using Markov Logic Networks
Abstract. We address the problem of visual event recognition in surveillance where noise and missing observations are serious problems. Common sense domain knowledge is exploited t...
Son Dinh Tran, Larry S. Davis
ICPR
2002
IEEE
15 years 10 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
63
Voted
PRL
2006
87views more  PRL 2006»
14 years 9 months ago
Applying 3D human model in a posture recognition system
This paper proposes an approach to recognise human postures in video sequences, which combines a 2D approach with a 3D human model. The 3D model is a realistic articulated human m...
Bernard Boulay, François Brémond, Mo...
HUMO
2000
Springer
15 years 1 months ago
Human Motion from Active Contours
We describe an approach for extracting threedimensional articulated motion from unrestricted monocular video sequences. We combine feature extraction methods based on active conto...
Jane Wilhelms, Allen Van Gelder, L. Atkinson-Derma...
CIVR
2007
Springer
136views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Merging storyboard strategies and automatic retrieval for improving interactive video search
The Carnegie Mellon University Informedia group has enjoyed consistent success with TRECVID interactive search using traditional storyboard interfaces for shot-based retrieval. Fo...
Michael G. Christel, Rong Yan