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PREMI
2007
Springer
14 years 2 months ago
An Adaptive Bayesian Technique for Tracking Multiple Objects
Abstract. Robust tracking of objects in video is a key challenge in computer vision with applications in automated surveillance, video indexing, human-computer-interaction, gesture...
Pankaj Kumar, Michael J. Brooks, Anton van den Hen...
PAMI
2008
235views more  PAMI 2008»
13 years 7 months ago
Dependent Multiple Cue Integration for Robust Tracking
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and po...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
ICIP
1994
IEEE
14 years 9 months ago
Robust Optical Flow Estimation
Motion information is essential in many computer vision and video analysis tasks. Since MPEG is still one of the most prevalent formats for representing, transferring and storing ...
Sugata Ghosal, Rajiv Mehrotra
MICCAI
2009
Springer
14 years 9 months ago
Enforcing Monotonic Temporal Evolution in Dry Eye Images
We address the problem of identifying dry areas in the tear film as part of a diagnostic tool for dry-eye syndrome. The requirement is to identify and measure the growth of the dry...
Tamir Yedidya, Peter Carr, Richard Hartley, Jea...
CVPR
2008
IEEE
14 years 10 months ago
Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories
We examine the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this motion segmentation pr...
René Vidal, Roberto Tron, Shankar Rao, Yi M...