A case study on logging visual activities: Chess game
No Thumbnail Available
Date
2005
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Izmir Institute of Technology
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
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
Includes bibliographical references (leaves: 46-47)
Text in English; Abstract: Turkish and English
ix, 47 leaves