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» Object tracking using color interest points
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EC
2008
174views ECommerce» more  EC 2008»
13 years 8 months ago
Automated Design of Image Operators that Detect Interest Points
This work describes how evolutionary computation can be used to synthesize lowlevel image operators that detect interesting points on digital images. Interest point detection is a...
Leonardo Trujillo, Gustavo Olague
DAGM
2006
Springer
14 years 19 days ago
Robust Non-rigid Object Tracking Using Point Distribution Manifolds
Abstract. We present an approach to non-rigid object tracking designed to handle textured objects in crowded scenes captured by non-static cameras. For this purpose, groups of low-...
Tom Mathes, Justus H. Piater
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
13 years 10 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
MVA
2007
169views Computer Vision» more  MVA 2007»
13 years 10 months ago
Human Tracking Based on Particle Filter in Outdoor Scene
In this paper, we propose the object tracking method based on color histograms and particle filtering. Particle filtering is a time series filter for estimating a state using prob...
Mototsugu Muroi, Heitoh Zen
CVPR
1997
IEEE
14 years 1 months ago
Object tracking using affine structure for point correspondences
Gurmeet Singh Manku, Pankaj Jain, Amit Aggarwal, L...