Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/3304
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dc.contributor.advisorGümüştekin, Şevketen
dc.contributor.authorOzan, Şükrü-
dc.date.accessioned2014-07-22T13:51:16Z-
dc.date.available2014-07-22T13:51:16Z-
dc.date.issued2005en
dc.identifier.urihttp://hdl.handle.net/11147/3304-
dc.descriptionThesis (Master)--Izmir Institute of Technology, Electronics and Communication Engineering, Izmir, 2005en
dc.descriptionIncludes bibliographical references (leaves: 46-47)en
dc.descriptionText in English; Abstract: Turkish and Englishen
dc.descriptionix, 47 leavesen
dc.description.abstractAutomatically 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.en
dc.language.isoenen_US
dc.publisherIzmir Institute of Technologyen
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.lccTK8316 .O99 2005en
dc.subject.lcshComputer chessen
dc.subject.lcshImage processing--Digital techniquesen
dc.titleA case study on logging visual activities: Chess gameen_US
dc.typeMaster Thesisen_US
dc.institutionauthorOzan, Şükrü-
dc.departmentIzmir Institute of Technology. Electronics and Communication Engineeringen
dc.relation.publicationcategoryTezen_US
item.openairetypeMaster Thesis-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
Appears in Collections:Master Degree / Yüksek Lisans Tezleri
Sürdürülebilir Yeşil Kampüs Koleksiyonu / Sustainable Green Campus Collection
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