Detail publikace

Hand Detection in Static Images, Video Sequences and Real Time Camera Feed

BRAVENEC, T.

Originální název

Hand Detection in Static Images, Video Sequences and Real Time Camera Feed

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The goal of this project is to create a computer vision system capable of hand detection in static images and in video sequence either from existing recording or real time feed from connected camera. Algorithms commonly used for hand detection are mostly dependent on simple background and are very dependent on the lightning changes. To mostly eliminate these issues this project uses deep convolutional neural network trained for hand detection.

Klíčová slova

Computer Vision; Hand detection; Convolutional Neural Networks; Deep Learning

Autoři

BRAVENEC, T.

Vydáno

25. 4. 2019

ISBN

978-80-214-5735-5

Kniha

Proceedings of the 25th Conference STUDENT EEICT 2019

Strany od

386

Strany do

389

Strany počet

4

BibTex

@inproceedings{BUT159692,
  author="Tomáš {Bravenec}",
  title="Hand Detection in Static Images, Video Sequences and Real Time Camera Feed",
  booktitle="Proceedings of the 25th Conference STUDENT EEICT 2019",
  year="2019",
  pages="386--389",
  isbn="978-80-214-5735-5"
}