Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/3304
Title: A case study on logging visual activities: Chess game
Authors: Gümüştekin, Şevket
Ozan, Şükrü
Ozan, Şükrü
Issue Date: 2005
Publisher: Izmir Institute of Technology
Izmir Institute of Technology
Abstract: Automatically recognizing and analyzing visual activities in complex nenvironments is a challenging and open-ended problem. In this thesis this problem domain is visited 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 (Federation International des Echecs) compatible chess board and to generate 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. A PC-CAM connected to a PC is used to acquire images and implement the corresponding software. For convenience, .Intel R Open Source Computer Vision Library (OpenCV). is used in the current software implementation.
Description: Thesis (Master)--Izmir Institute of Technology, Electronics and Communication Engineering, Izmir, 2005
Includes bibliographical references (leaves: 46-47)
Text in English; Abstract: Turkish and English
ix, 47 leaves
URI: http://hdl.handle.net/11147/3304
Appears in Collections:Master Degree / Yüksek Lisans Tezleri
Sürdürülebilir Yeşil Kampüs Koleksiyonu / Sustainable Green Campus Collection

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