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» Factorial Hidden Markov Models for Gait Recognition
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SSPR
2010
Springer
13 years 6 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
CVPR
2006
IEEE
14 years 9 months ago
Using Bilinear Models for View-invariant Action and Identity Recognition
Human identification from gait is a challenging task in realistic surveillance scenarios in which people walking along arbitrary directions are shot by a single camera. In this pa...
Fabio Cuzzolin
IWEC
2004
13 years 9 months ago
MMOG Player Classification Using Hidden Markov Models
In this paper, we describe our work on classification of players in Massively Multiplayer Online Games using Hidden Markov Models based on player action sequences. In our previous ...
Yoshitaka Matsumoto, Ruck Thawonmas
FGR
2004
IEEE
135views Biometrics» more  FGR 2004»
13 years 11 months ago
Bayesian Fusion of Hidden Markov Models for Understanding Bimanual Movements
Understanding hand and body gestures is a part of a wide spectrum of current research in computer vision and Human-Computer Interaction. A part of this can be the recognition of m...
Atid Shamaie, Alistair Sutherland
CIMCA
2006
IEEE
14 years 1 months ago
Constrained Circular Hidden Markov Models for Recognizing Deformed Shapes
In this paper, we analyse the properties of the standard circular hidden Markov model (HMM) on 2D shape recognition. We point out the limitations of the circular HMMs and further ...
Jinhai Cai