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» Video Sequence Learning and Recognition Via Dynamic Som
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PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
13 years 9 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
AIHC
2007
Springer
13 years 11 months ago
Modeling Naturalistic Affective States Via Facial, Vocal, and Bodily Expressions Recognition
Affective and human-centered computing have attracted a lot of attention during the past years, mainly due to the abundance of devices and environments able to exploit multimodal i...
Kostas Karpouzis, George Caridakis, Loïc Kess...
CVPR
2011
IEEE
13 years 10 days ago
Online Detection of Unusual Events in Videos via Dynamic Sparse Coding
Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the definitions for both norm...
Bin Zhao, Li Fei-Fei, Eric Xing
FGR
2002
IEEE
212views Biometrics» more  FGR 2002»
13 years 10 months ago
Motion-Based Recognition of People in EigenGait Space
A motion-based, correspondence-free technique for human gait recognition in monocular video is presented. We contend that the planar dynamics of a walking person are encoded in a ...
Chiraz BenAbdelkader, Larry S. Davis, Ross Cutler
CVPR
2007
IEEE
14 years 7 months ago
Latent-Dynamic Discriminative Models for Continuous Gesture Recognition
Many problems in vision involve the prediction of a class label for each frame in an unsegmented sequence. In this paper, we develop a discriminative framework for simultaneous se...
Louis-Philippe Morency, Ariadna Quattoni, Trevor D...