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Publication detail
ÁRVA, G. FRÝZA, T.
Original Title
Embedded Video Processing on Raspberry Pi
Type
conference paper
Language
English
Original 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
Authors
ÁRVA, G.; FRÝZA, T.
Released
20. 4. 2017
Location
Brno, Czech Republic
ISBN
978-1-5090-4591-4
Book
Proceedings of 27th International Conference Radioelektronika 2017
Pages from
1
Pages to
4
Pages count
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/" }