Detail publikace

Embedded Video Processing on Raspberry Pi

Originální název

Embedded Video Processing on Raspberry Pi

Anglický název

Embedded Video Processing on Raspberry Pi

Jazyk

en

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.

BibTex


@inproceedings{BUT137522,
  author="Gábor {Árva} and Tomáš {Frýza}",
  title="Embedded Video Processing on Raspberry Pi",
  annote="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.",
  booktitle="Proceedings of 27th International Conference Radioelektronika 2017",
  chapter="137522",
  doi="10.1109/RADIOELEK.2017.7937598",
  howpublished="online",
  year="2017",
  month="april",
  pages="1--4",
  type="conference paper"
}