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» Learning Switching Linear Models of Human Motion
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FGR
2004
IEEE
127views Biometrics» more  FGR 2004»
13 years 11 months ago
Gait Style and Gait Content: Bilinear Models for Gait Recognition Using Gait Re-sampling
Human Identification using gait is a challenging computer vision task due to the dynamic motion of gait and the existence of various sources of variations such as viewpoint, walki...
Chan-Su Lee, Ahmed M. Elgammal
CVPR
1998
IEEE
14 years 10 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
NIPS
2007
13 years 9 months ago
Combined discriminative and generative articulated pose and non-rigid shape estimation
Estimation of three-dimensional articulated human pose and motion from images is a central problem in computer vision. Much of the previous work has been limited by the use of cru...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
COGSCI
2007
85views more  COGSCI 2007»
13 years 7 months ago
Semantic Boost on Episodic Associations: An Empirically-Based Computational Model
Words become associated following repeated co-occurrence episodes. This process might be further determined by the semantic characteristics of the words. The present study focused...
Yaron Silberman, Shlomo Bentin, Risto Miikkulainen
MLMI
2005
Springer
14 years 1 months ago
Multimodal Authoring Tool for Populating a Database of Emotional Reactive Animations
Abstract. We aim to create a model of emotional reactive virtual humans. This model will help to define realistic behavior for virtual characters based on emotions and events in t...
Alejandra García-Rojas, Mario Gutiér...