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» Background estimation from non-time sequence images
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NIPS
2001
15 years 3 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
ICDAR
2011
IEEE
14 years 1 months ago
Word Retrieval in Historical Document Using Character-Primitives
Word searching and indexing in historical document collections is a challenging problem because, characters in these documents are often touching or broken due to degradation/agei...
Partha Pratim Roy, Jean-Yves Ramel, Nicolas Ragot
ICIP
2007
IEEE
16 years 3 months ago
MAP Particle Selection in Shape-Based Object Tracking
The Bayesian filtering for recursive state estimation and the shape-based matching methods are two of the most commonly used approaches for target tracking. The Multiple Hypothesi...
Alessio Dore, Carlo S. Regazzoni, Mirko Musso
ICIP
2005
IEEE
16 years 3 months ago
Fusion of multiple viewpoint information towards 3D face robust orientation detection
This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multiple calibra...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
ICIP
1999
IEEE
16 years 3 months ago
Video Motion Capture Using Feature Tracking and Skeleton Reconstruction
In the domain of computer vision, there exists a very wide application for the research of human motion capture. This paper proposes a new approach to do motion capture in video. ...
Xiaoming Liu 0002, Yueting Zhuang, Yunhe Pan