DocumentCode :
3642670
Title :
Computer vision system for the chess game reconstruction
Author :
M. Piškorec;N. Antulov-Fantulin;J. Ćurić;O. Dragoljević;V. Ivanac;L. Karlović
Author_Institution :
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
fYear :
2011
fDate :
5/1/2011 12:00:00 AM
Firstpage :
870
Lastpage :
876
Abstract :
In this paper we describe the system for real-time machine vision recognition of chess table and figures. Input data are two synchronized video sequences from a top-view and side-view camera showing the game of chess between two players. The top-view is used mainly for determining the positions of the figures on the table while side-view enables correct recognition of figures in cases where they are not occluded by another figure in front of them. Even in cases where that happens the top-view helps to track the occluded figures along the table. No prior knowledge of the chess rules is used, so there are no assumptions on how and where particular figures are allowed to move. OpenCV algorithm implementations are used for most of the preprocessing and analysis, including the identification of the chess table and classification of figures with SVM classifier.
Keywords :
"Cameras","Pixel","Image segmentation","Training","Image color analysis","Games","Noise"
Publisher :
ieee
Conference_Titel :
MIPRO, 2011 Proceedings of the 34th International Convention
Print_ISBN :
978-1-4577-0996-8
Type :
conf
Filename :
5967178
Link To Document :
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