Acta Marisiensis.
Seria Technologica
ISSN 2668-4217
ISSN-L 2668-4217
(Online)
Română
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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
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