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CVPR
2003
IEEE
14 years 9 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...
WACV
2002
IEEE
14 years 13 days ago
Multimodal Human-Computer Interaction for Crisis Management Systems
This paper presents a multimodal crisis management system (XISM). It employs processing of natural gesture and speech commands elicited by a user to efficiently manage complex dyn...
Nils Krahnstoever, Emilio Schapira, Sanshzar Kette...
CVPR
2010
IEEE
14 years 3 months ago
Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities
Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in ac...
Bangpeng Yao, Li Fei-Fei
FGR
2004
IEEE
135views Biometrics» more  FGR 2004»
13 years 11 months ago
Bayesian Fusion of Hidden Markov Models for Understanding Bimanual Movements
Understanding hand and body gestures is a part of a wide spectrum of current research in computer vision and Human-Computer Interaction. A part of this can be the recognition of m...
Atid Shamaie, Alistair Sutherland
CVPR
1999
IEEE
14 years 9 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...