CHESSBOARD SQUARE OCCUPANCY ANALYSIS THROUGH K-MEANS CLUSTERING BASED VISUAL MARKER DETECTION

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F13%3A39896723" target="_blank" >RIV/00216275:25530/13:39896723 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
CHESSBOARD SQUARE OCCUPANCY ANALYSIS THROUGH K-MEANS CLUSTERING BASED VISUAL MARKER DETECTION
Original language description
In 2012, Accessible chessboard for blind that is mouse and keyboard free was developed, using Kinect depth camera to detect presence of chess pieces. However, Kinect failed to be the right device for the task. Occasionally and unpredictably, depth data coming from the device contained large blobs of noise that reported zero distance from the Kinect. This prevented proper detection of square occupancy, requiring new algorithm that would be stable and robust. This paper presents such a new algorithm. It no longer users depth sensor, but USB web camera, and analyses captured image of the board. Colorful circular markers are stick to every square to help detection. Paper compares k-means clustering algorithm to other approaches that detect markers' visibility: Mathematical formulae for HSV statistics and neural network trained on the HSV statistics. Neural network based approach properly detected 19 out of 19 test images, but due to over fitting was failing in real game experiment. K-means
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Conference Proceedings The 13th Conference of Postgraduate Students and Young Scientists in Informatics, Management, Economics and Administration IMEA 2013
ISBN
978-80-7395-696-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
73-77
Publisher name
Univerzita Pardubice
Place of publication
Pardubice
Event location
Pardubice
Event date
Sep 26, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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