Detail výsledku

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.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Árva Gábor, Ing., FEKT (FEKT)
Frýza Tomáš, doc. Ing., Ph.D., UREL (FEKT)
Abstrakt

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.

Klíčová slova

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

URL
Rok
2017
Strany
1–4
Sborník
Proceedings of 27th International Conference Radioelektronika 2017
Konference
27th International Conference Radioelektronika 2017
ISBN
978-1-5090-4591-4
Místo
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/"
}
Pracoviště
oddělení-REL-SIX (REL-SIX)
Ústav radioelektroniky (UREL)
Nahoru