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» Tracking Moving Objects Improves Recognition
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AVSS
2006
IEEE
14 years 2 months ago
The Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition
Although the use of super-resolution techniques has demonstrated the ability to improve face recognition accuracy when compared to traditional upsampling techniques, they are difï...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 2 months ago
Analysis of noisy time-series signals with GA involving viral infection with tropism
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
Yuji Sato, Yuta Yasuda, Ryuji Goto
FGR
1998
IEEE
268views Biometrics» more  FGR 1998»
14 years 6 days ago
A Virtual Mirror Interface Using Real-Time Robust Face Tracking
We describe a virtual mirror interface which can react to people using robust, real-time face tracking. Our display can directly combine a user's face with various graphical ...
Trevor Darrell, Gaile G. Gordon, John Woodfill, Mi...
ICCV
2003
IEEE
14 years 10 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
IVC
2007
187views more  IVC 2007»
13 years 7 months ago
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...