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» Gaussian Process Dynamical Models for Human Motion
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ICASSP
2011
IEEE
14 years 3 months ago
Detection of anomalous events from unlabeled sensor data in smart building environments
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Padmini Jaikumar, Aca Gacic, Burton Andrews, Micha...
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
16 years 1 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
PAMI
2010
188views more  PAMI 2010»
14 years 10 months ago
A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding
—Facial expression is a natural and powerful means of human communication. Recognizing spontaneous facial actions, however, is very challenging due to subtle facial deformation, ...
Yan Tong, Jixu Chen, Qiang Ji
ICMI
2004
Springer
235views Biometrics» more  ICMI 2004»
15 years 5 months ago
Multimodal detection of human interaction events in a nursing home environment
In this paper, we propose a multimodal system for detecting human activity and interaction patterns in a nursing home. Activities of groups of people are firstly treated as intera...
Datong Chen, Robert Malkin, Jie Yang
IJVR
2008
208views more  IJVR 2008»
14 years 10 months ago
A View-based Multiple Objects Tracking and Human Action Recognition for Interactive Virtual Environments
As environments become smart in accordance with advances in ubiquitous computing technology, researchers are struggling to satisfy users' diverse and sophisticated demands. Th...
Jin Choi, Yong-il Cho, Kyusung Cho, Su-jung Bae, H...