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» Using hidden Markov models and wavelets for face recognition
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ICASSP
2009
IEEE
13 years 11 months ago
Graphical Models: Statistical inference vs. determination
Using discrete Hidden-Markov-Models (HMMs) for recognition requires the quantization of the continuous feature vectors. In handwritten whiteboard note recognition it turns out tha...
Joachim Schenk, Benedikt Hörnler, Artur Braun...
CVPR
1997
IEEE
13 years 11 months ago
LAFTER: Lips and Face Real-Time Tracker
This paper describes an active-camera real-time system for tracking, shape description, and classification of the human face and mouth using only an SGI Indy computer. The system...
Nuria Oliver, Alex Pentland, François B&eac...
ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
13 years 5 months ago
Human daily activity recognition in robot-assisted living using multi-sensor fusion
In this paper, we propose a human daily activity recognition method by fusing the data from two wearable inertial sensors attached on one foot and the waist of the human subject, r...
Chun Zhu, Weihua Sheng
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
ICASSP
2011
IEEE
12 years 11 months ago
Gesture-based Dynamic Bayesian Network for noise robust speech recognition
Previously we have proposed different models for estimating articulatory gestures and vocal tract variable (TV) trajectories from synthetic speech. We have shown that when deploye...
Vikramjit Mitra, Hosung Nam, Carol Y. Espy-Wilson,...