431 search results - page 60 / 87 » Factorial Hidden Markov Models for Gait Recognition |
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
CVIU
2006
13 years 7 months ago
2006
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
CVPR
1998
IEEE
14 years 9 months ago
1998
IEEE
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
INTERSPEECH
2010
13 years 2 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
SSPR
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. It is difficult to track, parse and model human-computer interactions during editing and revising of documents, but it is necessary if we are to develop automated technol...