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ISMAR
2009
IEEE
14 years 6 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
15 years 1 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»
15 years 4 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»
15 years 4 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 7 months 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 ...