Result Details

Embedded Video Processing on Raspberry Pi

ÁRVA, G.; FRÝZA, T. Embedded Video Processing on Raspberry Pi. In Proceedings of 27th International Conference Radioelektronika 2017. Brno, Czech Republic: 2017. p. 1-4. ISBN: 978-1-5090-4591-4.
Type
conference paper
Language
English
Authors
Árva Gábor, Ing., FEEC (FEEC)
Frýza Tomáš, doc. Ing., Ph.D., UREL (FEEC)
Abstract

The paper presents a study of existing methods for motion and face detection algorithms and their application to the on-board miniature Raspberry Pi computer. The algorithms realized by OpenCV functions were modified to optimize their operation on the mentioned platform, which could be used as an embedded surveillance system. The paper also mentions the training of a custom classifier for hand detection, what could be further used as a basis for detecting hand gestures.

Keywords

OpenCV, Raspberry Pi, motion detection, cascade classifiers, video surveillance

URL
Published
2017
Pages
1–4
Proceedings
Proceedings of 27th International Conference Radioelektronika 2017
Conference
27th International Conference Radioelektronika 2017
ISBN
978-1-5090-4591-4
Place
Brno, Czech Republic
DOI
10.1109/RADIOELEK.2017.7937598
UT WoS
000414280400040
EID Scopus
2-s2.0-85025652773
BibTeX 
@inproceedings{BUT137522,
  author="Gábor {Árva} and Tomáš {Frýza}",
  title="Embedded Video Processing on Raspberry Pi",
  booktitle="Proceedings of 27th International Conference Radioelektronika 2017",
  year="2017",
  pages="1--4",
  address="Brno, Czech Republic",
  doi="10.1109/RADIOELEK.2017.7937598",
  isbn="978-1-5090-4591-4",
  url="http://ieeexplore.ieee.org/document/7937598/"
}
Departments
Department of Radio Electronics (UREL)
division-REL-SIX (REL-SIX)
Back to top