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» Variational nonparametric Bayesian Hidden Markov Model
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115
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CVIU
2006
317views more  CVIU 2006»
15 years 12 days ago
A general method for human activity recognition in video
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...
Neil Robertson, Ian D. Reid
CVPR
2000
IEEE
16 years 2 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg
MMSEC
2005
ACM
147views Multimedia» more  MMSEC 2005»
15 years 6 months ago
A Bayesian image steganalysis approach to estimate the embedded secret message
Image steganalysis so far has dealt only with detection of a hidden message and estimation of some of its parameters (e.g., message length and secret key). To our knowledge, so fa...
Aruna Ambalavanan, Rajarathnam Chandramouli
CVPR
1998
IEEE
16 years 2 months ago
Nonlinear PHMMs for the Interpretation of Parameterized Gesture
In previous work [14], we modify the hidden Markov model (HMM) framework to incorporate a global parametric variation in the output probabilities of the states of the HMM. Develop...
Andrew D. Wilson, Aaron F. Bobick
100
Voted
NIPS
2008
15 years 1 months ago
Bayesian Synchronous Grammar Induction
We present a novel method for inducing synchronous context free grammars (SCFGs) from a corpus of parallel string pairs. SCFGs can model equivalence between strings in terms of su...
Phil Blunsom, Trevor Cohn, Miles Osborne