1. bookVolume 17 (2020): Issue 1 (June 2020)
Journal Details
License
Format
Journal
eISSN
2668-4217
First Published
30 Jul 2019
Publication timeframe
2 times per year
Languages
English
access type Open Access

An Optical Flow-Based Gesture Recognition Method

Published Online: 26 May 2020
Volume & Issue: Volume 17 (2020) - Issue 1 (June 2020)
Page range: 22 - 26
Journal Details
License
Format
Journal
eISSN
2668-4217
First Published
30 Jul 2019
Publication timeframe
2 times per year
Languages
English
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.

Keywords

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