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» Coupled hidden Markov models for complex action recognition
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TSP
2010
13 years 2 months ago
A multi-resolution hidden Markov model using class-specific features
We address the problem in signal classification applications, such as automatic speech recognition (ASR) systems that employ the hidden Markov model (HMM), that it is necessary to...
Paul M. Baggenstoss
CVPR
2003
IEEE
14 years 9 months ago
Recognising and Monitoring High-Level Behaviours in Complex Spatial Environments
The recognition of activities from sensory data is important in advanced surveillance systems to enable prediction of high-level goals and intentions of the target under surveilla...
Nam Thanh Nguyen, Hung Hai Bui, Svetha Venkatesh, ...
ICASSP
2011
IEEE
12 years 11 months ago
Using multiple visual tandem streams in audio-visual speech recognition
The method which is called the “tandem approach” in speech recognition has been shown to increase performance by using classifier posterior probabilities as observations in a...
Ibrahim Saygin Topkaya, Hakan Erdogan
ICPR
2002
IEEE
14 years 8 months ago
Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation
We present a novel technique for the recognition of complex human gestures for video annotation using accelerometers and the hidden Markov model. Our extension to the standard hid...
Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. ...
ICMCS
2007
IEEE
151views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Exploring Contextual Information in a Layered Framework for Group Action Recognition
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
Dong Zhang, Samy Bengio