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» A Generative Model Based Approach to Motion Segmentation
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FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
14 years 5 days ago
Segmenting Hands of Arbitrary Color
Colorhasbeen widelyused for handsegmentation. However, many approaches rely on predefined skin color models. It is very difficult to predefine a color model in a mobile applica...
Xiaojin Zhu, Jie Yang, Alex Waibel
TASLP
2008
115views more  TASLP 2008»
13 years 7 months ago
Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN
Abstract--This paper is concerned with the automatic recognition of dialogue acts (DAs) in multiparty conversational speech. We present a joint generative model for DA recognition ...
Alfred Dielmann, Steve Renals
NIPS
2001
13 years 9 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
14 years 2 months ago
An optimized Linear Model Predictive Control solver for online walking motion generation
— This article addresses the fast solution of a Quadratic Program underlying a Linear Model Predictive Control scheme that generates walking motions. We introduce an algorithm wh...
Dimitar Dimitrov, Pierre-Brice Wieber, Olivier Sta...
CVPR
2006
IEEE
14 years 9 months ago
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
Nebojsa Jojic, John M. Winn, Larry Zitnick