A Case Study on Logging Visual Activities: Chess Game

  • Şükrü Ozan
  • Şevket Gümüştekin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3949)


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.


Difference Image Content Base Image Retrieval Move Table Video Annotation Projected View 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Şükrü Ozan
    • 1
  • Şevket Gümüştekin
    • 1
  1. 1.Izmir Institute of TechnologyUrla IzmirTurkey

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