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ICCV
2007
IEEE
15 years 11 months ago
Multi-Object Tracking Through Clutter Using Graph Cuts
The standard graph cut technique is a robust method for globally optimal image segmentations. However, because of its global nature, it is prone to capture outlying areas similar ...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi
IROS
2006
IEEE
145views Robotics» more  IROS 2006»
15 years 3 months ago
An Automatic Approach to Online Color Training in RoboCup Environments
— Many approaches for extracting landmarks and objects from a camera image based on their color coding were published in the RoboCup domain. They are quite sophisticated and tune...
Patrick Heinemann, Frank Sehnke, Felix Streichert,...
NIPS
2004
14 years 11 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
ICCV
2009
IEEE
1198views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Implicit Color Segmentation Features for Pedestrian Detection
We investigate the problem of pedestrian detection in still images. Sliding window classifiers, notably using the Histogram-of-Gradient (HOG) features proposed by Dalal and Trig...
Patrick Ott and Mark Everingham
65
Voted
ICPR
2008
IEEE
15 years 4 months ago
Application of graph coloring in physical layout segmentation
Every-day, the postal sorting systems diffuse several tons of mails. It is noted that the principal origin of mail rejection is related to the failure of address-block localizatio...
Djamel Gaceb, Véronique Eglin, Frank Lebour...