Publication detail

Human Body Segmentation using R-CNN

MATĚJEK, L.

Original Title

Human Body Segmentation using R-CNN

English Title

Human Body Segmentation using R-CNN

Type

article in a collection out of WoS and Scopus

Language

Czech

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

MATĚJEK, L.

Released

27. 4. 2021

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Location

Brno

ISBN

978-80-214-5942-7

Book

Proceedings I of the 27th Conference STUDENT EEICT 2021

Edition number

1

Pages from

1

Pages to

4

Pages count

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"
}