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» On multiple foreground cosegmentation
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PAMI
2006
193views more  PAMI 2006»
14 years 9 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
ICCV
2001
IEEE
15 years 11 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
99
Voted
CVPR
2010
IEEE
15 years 5 months ago
Figure-Ground Segmentation Improves Handled Object Recognition in Egocentric Video
Identifying handled objects, i.e. objects being manipulated by a user, is essential for recognizing the person’s activities. An egocentric camera as worn on the body enjoys many...
Xiaofeng Ren, Chunhui Gu
79
Voted
SAFECOMP
2007
Springer
15 years 3 months ago
Intrusion Attack Tactics for the Model Checking of e-Commerce Security Guarantees
In existing security model-checkers the intruder’s behavior is defined as a message deducibility rule base governing use of eavesdropped information, with the aim to find out a m...
Stylianos Basagiannis, Panagiotis Katsaros, Andrew...
86
Voted
WACV
2005
IEEE
15 years 3 months ago
Automatic Recognition of Colloquial Australian Sign Language
This paper presents an automatic Australian sign language (Auslan) recognition system, which tracks multiple target objects (the face and hands) throughout an image sequence and e...
Eun-Jung Holden, Gareth Lee, Robyn A. Owens