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» Bayesian Clustering by Dynamics
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AVSS
2005
IEEE
15 years 10 months ago
Object tracking and matting for a class of dynamic image-based representations
Image-based rendering (IBR) is an emerging technology for photo-realistic rendering of scenes from a collection of densely sampled images and videos. Recently, an object-based app...
Zhi-Feng Gan, Shing-Chow Chan, Heung-Yeung Shum
ICCV
2007
IEEE
15 years 6 months ago
COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes
Development of multiple camera based vision systems for analysis of dynamic objects such as humans is challenging due to occlusions and similarity in the appearance of a person wi...
Abhinav Gupta, Anurag Mittal, Larry S. Davis
147
Voted
ICML
2009
IEEE
16 years 5 months ago
Optimized expected information gain for nonlinear dynamical systems
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-d...
Alberto Giovanni Busetto, Cheng Soon Ong, Joachim ...
FGR
2006
IEEE
148views Biometrics» more  FGR 2006»
15 years 10 months ago
Gait Tracking and Recognition Using Person-Dependent Dynamic Shape Model
Characteristics of the 2D shape deformation in human motion contain rich information for human identification and pose estimation. In this paper, we introduce a framework for sim...
Chan-Su Lee, Ahmed M. Elgammal
NIPS
1998
15 years 5 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller