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» Motion estimation from compressed linear measurements
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CVIU
2006
142views more  CVIU 2006»
13 years 7 months ago
Robust target detection and tracking through integration of motion, color, and geometry
Vision-based tracking is a basic elementary task in many computer vision-based applications such as video surveillance and monitoring, sensing and navigation in robotics, video co...
Harini Veeraraghavan, Paul R. Schrater, Nikolaos P...
CVPR
1996
IEEE
14 years 9 months ago
Epipolar Geometry and Linear Subspace Methods: A New Approach to Weak Calibration
This paper addresses the problem of estimating the epipolar geometry from point correspondences between two images taken by uncalibrated perspective cameras. It is shown that Jeps...
Jean Ponce, Yakup Genc
TSP
2008
101views more  TSP 2008»
13 years 7 months ago
Bayesian Compressive Sensing
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be recons...
Shihao Ji, Ya Xue, Lawrence Carin
ICIP
1998
IEEE
14 years 8 months ago
Reversing Motion Vector Fields
With the popular use of digital video (VCD, DVD, video conferencing, digital broadcasting system, digital TV and video editing), video streaming technology becomes much more impor...
Susie J. Wee
TIT
2010
100views Education» more  TIT 2010»
13 years 2 months ago
Theoretical and empirical results for recovery from multiple measurements
The joint-sparse recovery problem aims to recover, from sets of compressed measurements, unknown sparse matrices with nonzero entries restricted to a subset of rows. This is an ex...
Ewout van den Berg, Michael P. Friedlander