Detail publikace

Human Body Segmentation using R-CNN

MATĚJEK, L.

Originální název

Human Body Segmentation using R-CNN

Anglický název

Human Body Segmentation using R-CNN

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

čeština

Originální abstrakt

The article deals with basic concepts in the sector of image processing using neural networks. It describes the basic principles and methods of object recognition and image segmentation using neural network architectures based on R-CNN architecture. Specifically the work focuses on human body segmentation from static images, resulting in individual segments in the output mask corresponding to each limb of a human body.

Anglický abstrakt

The article deals with basic concepts in the sector of image processing using neural networks. It describes the basic principles and methods of object recognition and image segmentation using neural network architectures based on R-CNN architecture. Specifically the work focuses on human body segmentation from static images, resulting in individual segments in the output mask corresponding to each limb of a human body.

Klíčová slova

Image segmentation, Body part recognition, CNN, R-CNN, deep learning, object recognition

Klíčová slova v angličtině

Image segmentation, Body part recognition, CNN, R-CNN, deep learning, object recognition

Autoři

MATĚJEK, L.

Vydáno

27. 4. 2021

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Místo

Brno

ISBN

978-80-214-5942-7

Kniha

Proceedings I of the 27th Conference STUDENT EEICT 2021

Číslo edice

1

Strany od

1

Strany do

4

Strany počet

4

BibTex

@inproceedings{BUT171850,
  author="Libor {Matějek}",
  title="Human Body Segmentation using R-CNN",
  booktitle="Proceedings I of the 27th Conference STUDENT EEICT 2021",
  year="2021",
  number="1",
  pages="1--4",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno",
  isbn="978-80-214-5942-7"
}