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» A Generative Model Based Approach to Motion Segmentation
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CVPR
2008
IEEE
14 years 9 months ago
Real-time pose estimation of articulated objects using low-level motion
We present a method that is capable of tracking and estimating pose of articulated objects in real-time. This is achieved by using a bottom-up approach to detect instances of the ...
Ben Daubney, David P. Gibson, Neill W. Campbell
ICMCS
2005
IEEE
108views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Virtual camerawork for generating lecture video from high resolution images
We propose a method for generating a dynamic lecture video from the high resolution images recorded by a HDV camcorder. The lecture images are cropped to track the region of the i...
Takao Yokoi, Hironobu Fujiyoshi
ICASSP
2007
IEEE
13 years 11 months ago
Array Processing Approach for Object Segmentation in Images
Thanks to a specific formalism for signal generation, it is possible to transpose an image processing problem to an array processing problem. For straight line characterization, t...
Julien Marot, Salah Bourennane, Mouloud Adel
DAC
1999
ACM
14 years 8 months ago
An Efficient Lyapunov Equation-Based Approach for Generating Reduced-Order Models of Interconnect
In this paper we present a new algorithm for computing reduced-order models of interconnect which utilizes the dominant controllable subspace of the system. The dominant controlla...
Jing-Rebecca Li, Frank Wang, Jacob White
ICCV
2003
IEEE
14 years 1 months ago
Modeling Textured Motion : Particle, Wave and Sketch
In this paper, we present a generative model for textured motion phenomena, such as falling snow, wavy river and dancing grass, etc. Firstly, we represent an image as a linear sup...
Yizhou Wang, Song Chun Zhu