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» Unsupervised scene analysis: A hidden Markov model approach
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IJFCS
2008
49views more  IJFCS 2008»
13 years 7 months ago
A Markovian Approach for the Analysis of the gene Structure
Hidden Markov models (HMMs) are effective tools to detect series of statistically homogeneous structures, but they are not well suited to analyse complex structures. Numerous meth...
Christelle Melo de Lima, Laurent Gueguen, Christia...
ICMI
2007
Springer
215views Biometrics» more  ICMI 2007»
14 years 1 months ago
Visual inference of human emotion and behaviour
We address the problem of automatic interpretation of nonexaggerated human facial and body behaviours captured in video. We illustrate our approach by three examples. (1) We intro...
Shaogang Gong, Caifeng Shan, Tao Xiang
CVPR
2010
IEEE
14 years 3 months ago
Exploiting Simple Hierarchies for Unsupervised Human Behavior Analysis
We propose a data-driven, hierarchical approach for the analysis of human actions in visual scenes. In particular, we focus on the task of in-house assisted living. In such scenar...
Fabian Nater, Helmut Grabner, Luc Van Gool
ICPR
2006
IEEE
14 years 8 months ago
A Combined Bayesian Markovian Approach for Behaviour Recognition
Numerous techniques exist which can be used for the task of behavioural analysis and recognition. Common amongst these are Bayesian networks and Hidden Markov Models. Although the...
David Paul Young, James M. Ferryman, Nicholas L. C...
ICDAR
2009
IEEE
13 years 5 months ago
HMM Based Handwritten Word Recognition System by Using Singularities
This paper presents a new approach for Handwritten Word Recognition based on Hidden Markov Model theory and the sliding window technique. The new approach uses specific singularit...
Sebastiano Impedovo, Anna Ferrante, Raffaele Modug...