Computer vision system for the chess game reconstruction (CROSBI ID 576479)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Piškorec, Matija ; Antulov-Fantulin, Nino ; Ćurić, Jura ; Dragoljević, Ognjen ; Ivanac, Vedran ; Karlović, Luka
engleski
Computer vision system for the chess game reconstruction
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.
Computer vision
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
263-269.
2011.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 34th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2011)
Bogunović, Nikola ; Ribarić, Slobodan
Zagreb: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
978-953-233-062-5
Podaci o skupu
34th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2011
predavanje
23.05.2011-27.05.2011
Opatija, Hrvatska