Detail výsledku

Multiplatform System for Hand Gesture Recognition

BRAVENEC, T.; FRÝZA, T. Multiplatform System for Hand Gesture Recognition. In 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2019). Ajman, United Arab Emirates: 2019. p. 1-5. ISBN: 978-1-7281-5341-4.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Bravenec Tomáš, Ing., Ph.D., UREL (FEKT)
Frýza Tomáš, doc. Ing., Ph.D., UREL (FEKT)
Abstrakt

This paper is focused on hand gestures and finger detection in still images and video sequences. The paper also contains a brief testing of different approaches to hand gesture detections as well as the realization of the platform independent application written in Python using OpenCV and PyTorch libraries, that can show a selected image or play a video sequence with highlighted recognized gestures.

Klíčová slova

Hand detection; Gesture recognition; Deep Learning

URL
Rok
2019
Strany
1–5
Sborník
2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2019)
Konference
IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2019)
ISBN
978-1-7281-5341-4
Místo
Ajman, United Arab Emirates
DOI
10.1109/ISSPIT47144.2019.9001762
UT WoS
000568621300039
EID Scopus
2-s2.0-85081377991
BibTeX 
@inproceedings{BUT159799,
  author="Tomáš {Bravenec} and Tomáš {Frýza}",
  title="Multiplatform System for Hand Gesture Recognition",
  booktitle="2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2019)",
  year="2019",
  pages="1--5",
  address="Ajman, United Arab Emirates",
  doi="10.1109/ISSPIT47144.2019.9001762",
  isbn="978-1-7281-5341-4",
  url="https://ieeexplore.ieee.org/document/9001762"
}
Pracoviště
Ústav radioelektroniky (UREL)
Nahoru