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» Tracking Periodic Motion using Bayesian Estimation
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156
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PAMI
2007
214views more  PAMI 2007»
15 years 2 months ago
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours
—Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or part...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
136
Voted
EC
2008
164views ECommerce» more  EC 2008»
15 years 2 months ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...
228
Voted
MVA
2011
326views Computer Vision» more  MVA 2011»
14 years 9 months ago
Kernel-based object tracking using asymmetric kernels with adaptive scale and orientation selection
Abstract Kernel-based object tracking refers to computing the translation of an isotropic object kernel from one video frame to the next. The kernel is commonly chosen as a primiti...
Alper Yilmaz
228
Voted
CVPR
2009
IEEE
2305views Computer Vision» more  CVPR 2009»
16 years 10 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 ...
117
Voted
ICIP
2006
IEEE
16 years 4 months ago
Light and Fast Statistical Motion Detection Method Based on Ergodic Model
In this paper, we propose a light and fast pixel-based statistical motion detection method based on a background subtraction procedure. The statistical representation of the backg...
Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad