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 summary 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 summary 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{BUT159691,
  author="Tomáš {Bravenec}",
  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 summary 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.",
  address="Studentská sekce IEEE při VUT v Brně",
  booktitle="Proceedings of IEEE Student Branch Conference Mikulov 2019",
  chapter="159691",
  howpublished="online",
  institution="Studentská sekce IEEE při VUT v Brně",
  year="2019",
  month="september",
  pages="30--33",
  publisher="Studentská sekce IEEE při VUT v Brně",
  type="conference paper"
}