Detail publikačního výsledku

Embedded Video Processing on Raspberry Pi

ÁRVA, G.; FRÝZA, T.

Originální název

Embedded Video Processing on Raspberry Pi

Anglický název

Embedded Video Processing on Raspberry Pi

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální 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.

Anglický 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

Klíčová slova v angličtině

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

Autoři

ÁRVA, G.; FRÝZA, T.

Rok RIV

2018

Vydáno

20.04.2017

Místo

Brno, Czech Republic

ISBN

978-1-5090-4591-4

Kniha

Proceedings of 27th International Conference Radioelektronika 2017

Strany od

1

Strany do

4

Strany počet

4

URL

http://ieeexplore.ieee.org/document/7937598/

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/"
}

Dokumenty

01_reprint