Acta Marisiensis.
Seria Technologica
ISSN 2668-4217
ISSN-L 2668-4217
(Online)
Română
| Home | Editorial board | Submit paper | Publication ethics | Contact | Indexing |
Year 2024
Volume 21 (XXXVIII), no 1
Year 2023
Volume 20 (XXXVII), no 1
Volume 20 (XXXVII), no 2
Year 2022
Volume 19 (XXXVI), no 1
Volume 19 (XXXVI), no 2
Year 2021
Volume 18 (XXXV), no 1
Volume 18 (XXXV), no 2
Year 2020
Volume 17 (XXXIV), no 1
Volume 17 (XXXIV), no 2
Year 2019
Volume 16 (XXXIII), no 1
Volume 16 (XXXIII), no 2
Year 2018
Volume 15 (XXXII), no 1
Volume 15 (XXXII), no 2
Year 2017
Volume 14 (XXXI), no 1
Volume 14 (XXXI), no 2
Year 2016
Volume 13 (XXX), no 1
Volume 13 (XXX), no 2
Year 2015
Volume 12 (XXIX), no 1
Volume 12 (XXIX), no 2
Year 2014
Volume 11 (XXVIII), no 1
Volume 11 (XXVIII), no 2
Year 2013
Volume 10 (XXVII), no 1
Volume 10 (XXVII), no 2
Year 2012
Volume 9 (XXVI), no 1
Volume 9 (XXVI), no 2
Year 2011
Volume 8 (XXV), no 1
Volume 8 (XXV), no 2
Year 2010
Volume 7 (XXIV), no 1
Volume 7 (XXIV), no 2
Year 2009
Volume 6 (XXIII)
Volume 21 (XXXVIII), no 1
Year 2023
Volume 20 (XXXVII), no 1
Volume 20 (XXXVII), no 2
Year 2022
Volume 19 (XXXVI), no 1
Volume 19 (XXXVI), no 2
Year 2021
Volume 18 (XXXV), no 1
Volume 18 (XXXV), no 2
Year 2020
Volume 17 (XXXIV), no 1
Volume 17 (XXXIV), no 2
Year 2019
Volume 16 (XXXIII), no 1
Volume 16 (XXXIII), no 2
Year 2018
Volume 15 (XXXII), no 1
Volume 15 (XXXII), no 2
Year 2017
Volume 14 (XXXI), no 1
Volume 14 (XXXI), no 2
Year 2016
Volume 13 (XXX), no 1
Volume 13 (XXX), no 2
Year 2015
Volume 12 (XXIX), no 1
Volume 12 (XXIX), no 2
Year 2014
Volume 11 (XXVIII), no 1
Volume 11 (XXVIII), no 2
Year 2013
Volume 10 (XXVII), no 1
Volume 10 (XXVII), no 2
Year 2012
Volume 9 (XXVI), no 1
Volume 9 (XXVI), no 2
Year 2011
Volume 8 (XXV), no 1
Volume 8 (XXV), no 2
Year 2010
Volume 7 (XXIV), no 1
Volume 7 (XXIV), no 2
Year 2009
Volume 6 (XXIII)
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
View full article