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ISMAR
2009
IEEE
13 years 11 months ago
A setup for evaluating detectors and descriptors for visual tracking
In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking...
Steffen Gauglitz, Tobias Höllerer, Petra Krah...

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sotomsaStudent, PhD
University of Genoa
sotomsa
CVPR
2005
IEEE
14 years 6 months ago
Visual Tracking in the Presence of Motion Blur
We consider the problem of visual tracking of regions of interest in a sequence of motion blurred images. Traditional methods couple tracking with deblurring in order to correctly...
Hailin Jin, Paolo Favaro, Roberto Cipolla

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290profile views
qwangproStudent, PhD
Tsinghua University
qwangpro
ICCV
2009
IEEE
1052views Computer Vision» more  ICCV 2009»
14 years 9 months ago
A direct approach for efficiently tracking with 3D Morphable Models
We present an efficient algorithm for fitting a morphable model to an image sequence. It is built on a projective geometry formulation of perspective projection, which results in a...
Enrique Muñoz, José M. Buenaposada, Luis Baumela
ICCV
2009
IEEE
1957views Computer Vision» more  ICCV 2009»
14 years 9 months 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
CVPR
2009
IEEE
2305views Computer Vision» more  CVPR 2009»
15 years 23 hour ago
Visual tracking on the affine group via geometric particle filtering using optimal importance function
We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinateinvariant partic...
Junghyun Kwon (Seoul National University), Kyoung ...