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176
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IVC
2000
153views more  IVC 2000»
15 years 6 months ago
The model-based human body motion analysis system
In this paper, we propose a model-based method to analyze the human walking motion. This system consists of three phases: the preprocessing phase, the model construction phase, an...
I-Cheng Chang, Chung-Lin Huang
PAMI
2002
78views more  PAMI 2002»
15 years 6 months ago
Robust Factorization
Factorization algorithms for recovering structure and motion from an image stream have many advantages, but they usually require a set of well tracked features. Such a set is in g...
Henrik Aanæs, Rune Fisker, Kalle Åstr&...
303
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CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge
ICMLA
2009
15 years 4 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
218
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MST
2011
208views Hardware» more  MST 2011»
15 years 1 months ago
Weighted Picture Automata and Weighted Logics
The theory of two-dimensional languages, generalizing formal string languages, was motivated by problems arising from image processing and models of parallel computing. Weighted au...
Ina Fichtner
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