Detail publikace

Multiplatform System for Hand Gesture Recognition

Originální název

Multiplatform System for Hand Gesture Recognition

Anglický název

Multiplatform System for Hand Gesture Recognition

Jazyk

en

Originální abstrakt

This paper is focused on hand gestures and finger detection in still images and video sequences. The paper also contains a brief testing of different approaches to hand gesture detections as well as the realization of the platform independent application written in Python using OpenCV and PyTorch libraries, that can show a selected image or play a video sequence with highlighted recognized gestures.

Anglický abstrakt

This paper is focused on hand gestures and finger detection in still images and video sequences. The paper also contains a brief testing of different approaches to hand gesture detections as well as the realization of the platform independent application written in Python using OpenCV and PyTorch libraries, that can show a selected image or play a video sequence with highlighted recognized gestures.

BibTex


@inproceedings{BUT159799,
  author="Tomáš {Bravenec} and Tomáš {Frýza}",
  title="Multiplatform System for Hand Gesture Recognition",
  annote="This paper is focused on hand gestures and finger detection in still images and video sequences. The paper also contains a brief testing of different approaches to hand gesture detections as well as the realization of the platform independent application written in Python using OpenCV and PyTorch libraries, that can show a selected image or play a video sequence with highlighted recognized gestures.",
  booktitle="2019 IEEE International
Symposium on Signal Processing
and Information Technology
(ISSPIT 2019)",
  chapter="159799",
  howpublished="online",
  year="2019",
  month="december",
  pages="1--5",
  type="conference paper"
}