Original title: Image Recognition, Static Hand Gesture Recognition Software
Authors: KAPOUN, Jan
Document type: Bachelor's theses
Year: 2010
Language: eng
Abstract: This thesis deals with recognition of static hand gestures in a real-time video feed. It is an accompanying paper to the application that I created. Within the framework of this thesis, you will find necessary algorithms for background segmentation and image recognition that were implemented in the application. This thesis also describes problems that I came across when writing the software and also some dead-ends I found when trying to choose the best algorithms. The application source code along with images and a video presentation can be downloaded here: http://jankapoun.own.cz/soft_AI.php
Keywords: artificial intelligence; background subtraction; contour finding; hand gestures; Hu moments; image recognition
Citation: KAPOUN, Jan. Image Recognition, Static Hand Gesture Recognition Software. České Budějovice, 2010. bakalářská práce (Bc.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Pedagogická fakulta

Institution: University of South Bohemia in České Budějovice (web)
Document availability information: Fulltext is available in the Digital Repository of University of South Bohemia.
Original record: http://www.jcu.cz/vskp/15773

Permalink: http://www.nusl.cz/ntk/nusl-80505


The record appears in these collections:
Universities and colleges > Public universities > University of South Bohemia in České Budějovice
Academic theses (ETDs) > Bachelor's theses
 Record created 2011-12-09, last modified 2023-01-15


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