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» Using hidden Markov models and wavelets for face recognition
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CEE
2010
119views more  CEE 2010»
13 years 7 months ago
Block-matching-based motion field generation utilizing directional edge displacement
A motion field generation algorithm using block matching of edge-flag histograms has been developed aiming at its application to motion recognition systems. Use of edge flags inste...
Hitoshi Hayakawa, Tadashi Shibata

Publication
363views
12 years 6 months ago
Detecting and Discriminating Behavioural Anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
Chen Change Loy, Tao Xiang, Shaogang Gong
CIARP
2009
Springer
14 years 2 months ago
Learning Relational Grammars from Sequences of Actions
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
Blanca Vargas-Govea, Eduardo F. Morales
ICASSP
2008
IEEE
14 years 1 months ago
Impact of automatic sentence segmentation on meeting summarization
This paper investigates the impact of automatic sentence segmentation on speech summarization using the ICSI meeting corpus. We use a hidden Markov model (HMM) for sentence segmen...
Yang Liu, Shasha Xie
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
14 years 1 days 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