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» Application of Vision Models to Traffic Sign Recognition
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BMVC
1998
13 years 9 months ago
Gesture Recognition for Visually Mediated Interaction using Probabilistic Event Trajectories
An approach to gesture recognition is presented in which gestures are modelled probabilistically as sequences of visual events. These events are matched to visual input using prob...
Stephen J. McKenna, Shaogang Gong
JAISE
2011
238views more  JAISE 2011»
13 years 2 months ago
A bio-inspired system model for interactive surveillance applications
Advances in computer vision and pattern recognition research are leading to video surveillance systems with improved scene analysis capabilities. However, up to now few works have ...
Alessio Dore, Matteo Pinasco, Lorenzo Ciardelli, C...
FGR
2008
IEEE
198views Biometrics» more  FGR 2008»
14 years 2 months ago
Recognizing hand gestures using dynamic Bayesian network
In this paper, we describe a dynamic Bayesian network or DBN based approach to both two-hand gestures and onehand gestures. Unlike wired glove-based approaches, the success of cam...
Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
CVPR
2004
IEEE
14 years 9 months ago
Integrating Multiple Model Views for Object Recognition
We present a new approach to appearance-based object recognition, which captures the relationships between multiple model views and exploits them to improve recognition performanc...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...
ICPR
2010
IEEE
14 years 2 months ago
Dimension-Decoupled Gaussian Mixture Model for Short Utterance Speaker Recognition
The Gaussian Mixture Model (GMM) is often used in conjunction with Mel-frequency cepstral coefficient (MFCC) feature vectors for speaker recognition. A great challenge is to use ...
Thilo Stadelmann, Bernd Freisleben