Human Body Segmentation Using R-Cnn

Matějek, Libor

Human Body Segmentation Using R-Cnn

Files

87_eeict-2021_1.pdf(2.3 MB)

Date

2021

Authors

Matějek, Libor

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

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 segmentationusing neural network architectures based on R-CNN architecture. Specifically the work focuses onhuman body segmentation from static images, resulting in individual segments in the output maskcorresponding to each limb of a human body

Keywords

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

Citation

Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 87-90. ISBN 978-80-214-5942-7
https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni

Document type

Peer-reviewed

Document version

Published version

Language of document

cs

Document licence