Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

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.

Anglický 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.

BibTex


@inproceedings{BUT159692,
  author="Tomáš {Bravenec}",
  title="Hand Detection in Static Images, Video Sequences and Real Time Camera Feed",
  annote="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.",
  booktitle="Proceedings of the 25th Conference STUDENT EEICT 2019",
  chapter="159692",
  howpublished="online",
  year="2019",
  month="april",
  pages="386--389",
  type="conference paper"
}