310 search results - page 28 / 62 » Gesture Recognition using Hidden Markov Models from Fragment... |
IBPRIA
2007
Springer
14 years 3 months ago
2007
Springer
This paper describes an experimental study about a robust contour feature (shape-context) for using in action recognition based on continuous hidden Markov models (HMM). We ran dif...
CVPR
2003
IEEE
14 years 11 months ago
2003
IEEE
This paper addresses the problem of capturing the dynamics for exemplar-based recognition systems. Traditional HMM provides a probabilistic tool to capture system dynamics and in ...
APPROX
2008
Springer
13 years 11 months ago
2008
Springer
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
ICASSP
2011
IEEE
13 years 21 days ago
2011
IEEE
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
CVIU
2006
13 years 9 months ago
2006
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...