DocumentCode :
3566653
Title :
Contribution of a color classification to soccer players tracking with snakes
Author :
Vandenbroucke, N. ; Macaire, L. ; Vieren, C. ; Postaire, J.-G.
Author_Institution :
Dept. Productique, Ecole des Mines de Douai, France
Volume :
4
fYear :
1997
Firstpage :
3660
Abstract :
In this paper, we present a soccer players tracking method by successive color images analysis. Each player who is present in the images is modelized by a snake. The snake is computed after a color classification of the pixels in order to recognize the team of each player. The classification process uses a supervised learning scheme based on the colorimetric analysis of the players suits. So, each player is tracked even if he is close to a player of the other team
Keywords :
image classification; learning (artificial intelligence); color classification; color images analysis; colorimetric analysis; snake; soccer players tracking method; supervised learning scheme; Cameras; Games; Image analysis; Image color analysis; Image motion analysis; Image recognition; Image sequence analysis; Motion detection; TV; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-4053-1
Type :
conf
DOI :
10.1109/ICSMC.1997.633237
Filename :
633237
Link To Document :
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