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» Distributed processing in frames for sparse approximation
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ICCV
2011
IEEE
12 years 7 months ago
Blurred Target Tracking by Blur-driven Tracker
Visual tracking plays an important role in many computer vision tasks. A common assumption in previous methods is that the video frames are blur free. In reality, motion blurs are...
Yi Wu, Haibin Ling, Jingyi Yu, Feng Li, Xue Mei, E...
ICASSP
2009
IEEE
14 years 2 months ago
Distributed compressive video sensing
Low-complexity video encoding has been applicable to several emerging applications. Recently, distributed video coding (DVC) has been proposed to reduce encoding complexity to the...
Li-Wei Kang, Chun-Shien Lu
ASAP
2005
IEEE
118views Hardware» more  ASAP 2005»
14 years 1 months ago
Real-time H/W Implementation of the Approximate Discrete Radon Transform
The Radon transform (RT) is a widely studied algorithm used to perform image pattern extraction in fields such as computer graphics, medical imagery, and avionics. Real-time impl...
Michael T. Frederick, Nathan A. VanderHorn, Arun K...
ICASSP
2010
IEEE
13 years 7 months ago
Kronecker product matrices for compressive sensing
Compressive sensing (CS) is an emerging approach for acquisition of signals having a sparse or compressible representation in some basis. While CS literature has mostly focused on...
Marco F. Duarte, Richard G. Baraniuk
ICCV
2009
IEEE
1957views Computer Vision» more  ICCV 2009»
15 years 14 days ago
Robust Visual Tracking using L1 Minimization
In this paper we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, corru...
Xue Mei, Haibin Ling