Acta Marisiensis.
Seria Technologica
ISSN 2668-4217
ISSN-L 2668-4217
(Online)
English
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Volum 20 (XXXVII), nr 2
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Volum 19 (XXXVI), nr 1
Volum 19 (XXXVI), nr 2
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Volum 18 (XXXV), nr 2
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Volum 17 (XXXIV), nr 2
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Volum 16 (XXXIII), nr 2
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Volum 15 (XXXII), nr 2
Anul 2017
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Volum 14 (XXXI), nr 2
Anul 2016
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Volum 13 (XXX), nr 2
Anul 2015
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Volum 12 (XXIX), nr 2
Anul 2014
Volum 11 (XXVIII), nr 1
Volum 11 (XXVIII), nr 2
Anul 2013
Volum 10 (XXVII), nr 1
Volum 10 (XXVII), nr 2
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Volum 9 (XXVI), nr 1
Volum 9 (XXVI), nr 2
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Volum 8 (XXV), nr 1
Volum 8 (XXV), nr 2
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2020, Volume 17 (XXXIV), no 1
An Optical Flow-based Gesture Recognition Method
Dániel Zoltán NAGY, Imre PILLER, Mathematical Institute, University of Miskolc, Miskolc, Hungary
Abstract:
The efficient human-machine interaction is an essential and current problem of computer science. The paper presents a gesture recognition method which applies optical flow calculation and an aggregation for obtaining a heatmap-like representation of the motion trajectories. After the overview of the image processing workflow, the paper introduces six symbols for providing some measurements. The described experiments show the robustness of the method against color, shape and time variance.
DOI: https://doi.org/10.2478/amset-2020-0005
Pages: 22-26
Cite as: download info as bibtex
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