Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2244
Title: A case study on logging visual activities: Chess game
Authors: Ozan, Şükrü
Gümüştekin, Şevket
Ozan, Şükrü
Gümüştekin, Şevket
Izmir Institute of Technology. Electronics and Communication Engineering
Keywords: Game theory
Computer software
Computer vision
Software engineering
Issue Date: 2006
Publisher: Springer Verlag
Source: Ozan, Ş., and Gümüştekin, Ş. (2006). A case study on logging visual activities: Chess game. Lecture Notes in Computer Science, 3949 LNAI, 1-10. doi:10.1007/11803089_1
Abstract: Automatically recognizing and analyzing visual activities in complex environments is a challenging and open-ended problem. In this study this task is performed in a chess game scenario where the rules, actions and the environment are well defined. The purpose here is to detect and observe a FIDE (Fédération International des Ėchecs) compatible chess board, generating a log file of the moves made by human players. A series of basic image processing operations have been applied to perform the desired task. The first step of automatically detecting a chess board is followed by locating the positions of the pieces. After the initial setup is established every move made by a player is automatically detected and verified. Intel® Open Source Computer Vision Library (OpenCV) is used in the current software implementation.
Description: 14th Turkish Symposium on Artificial Intelligence and Neural Networks, TAINN 2005; Izmir; Turkey; 16 June 2005 through 17 June 2005
URI: http://doi.org/10.1007/11803089_1
http://hdl.handle.net/11147/2244
ISBN: 9783540367130
ISSN: 0302-9743
0302-9743
1611-3349
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Sürdürülebilir Yeşil Kampüs Koleksiyonu / Sustainable Green Campus Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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