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» Video Scene Segmentation using Video and Audio Features
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LREC
2008
220views Education» more  LREC 2008»
13 years 10 months ago
Introducing DRS (The Digital Replay System): a Tool for the Future of Corpus Linguistic Research and Analysis
This paper outlines the new resource technologies, products and applications that have been constructed during the development of a multi-modal (MM hereafter) corpus tool on the D...
Dawn Knight, Paul Tennent
TIP
2010
119views more  TIP 2010»
13 years 4 months ago
Trajectory Classification Using Switched Dynamical Hidden Markov Models
This paper proposes an approach for recognizing human activities (more specifically, pedestrian trajectories) in video sequences, in a surveillance context. A system for automatic ...
Jacinto C. Nascimento, Mário A. T. Figueire...
CVPR
2006
IEEE
14 years 11 months ago
Gesture Recognition using Hidden Markov Models from Fragmented Observations
We consider the problem of computing the likelihood of a gesture from regular, unaided video sequences, without relying on perfect segmentation of the scene. Instead of requiring ...
Ruiduo Yang, Sudeep Sarkar
ACIVS
2008
Springer
14 years 3 months ago
Crowd Behavior Recognition for Video Surveillance
Abstract. Crowd behavior recognition is becoming an important research topic in video surveillance for public places. In this paper, we first discuss the crowd feature selection a...
Shobhit Saxena, François Brémond, Mo...
ICIP
2008
IEEE
14 years 11 months ago
Motion segmentation and abnormal behavior detection via behavior clustering
We consider a change detection problem in video surveillance applications and propose busy-idle rates, meaningful and easy to compute features, to characterize the behavior profil...
Erhan Baki Ermis, Venkatesh Saligrama, Pierre-Marc...