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ROBOCUP
2004
Springer
158views Robotics» more  ROBOCUP 2004»
15 years 11 months ago
Plug and Play: Fast Automatic Geometry and Color Calibration for Cameras Tracking Robots
We have developed an automatic calibration method for a global camera system. Firstly, we show how to define automatically the color maps we use for tracking the robots’ markers...
Anna Egorova, Mark Simon, Fabian Wiesel, Alexander...
EOR
2010
133views more  EOR 2010»
15 years 6 months ago
A memetic algorithm for graph coloring
Given an undirected graph G = (V, E) with a set V of vertices and a set E of edges, the graph coloring problem consists of partitioning all vertices into k independent sets and th...
Zhipeng Lü, Jin-Kao Hao
TIP
2008
181views more  TIP 2008»
15 years 6 months ago
Sparse Representation for Color Image Restoration
Abstract--Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over...
Julien Mairal, Michael Elad, Guillermo Sapiro
CVPR
1997
IEEE
16 years 8 months ago
Tracking non-rigid, moving objects based on color cluster flow
In this contribution we present an algorithm for tracking non-rigid, moving objects in a sequence of colored images, which were recorded by a non-stationary camera. The applicatio...
Bernd Heisele, Ulrich Kressel, W. Ritter
ROBOCUP
2007
Springer
157views Robotics» more  ROBOCUP 2007»
16 years 9 days ago
Mean-Shift-Based Color Tracking in Illuminance Change
Abstract. The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although it is important to adapt the mean-shift kernel to handle changes in il...
Yuji Hayashi, Hironobu Fujiyoshi