Publications

Detailed Information

Reliable Data Collection Methodology for Face Recognition in Preschool Children

Cited 1 time in Web of Science Cited 2 time in Scopus
Authors

Won, Hye-min; Lee, Hyeogjin; Song, Gyuwon; Kim, Yeonghun; Kwak, Nojun

Issue Date
2022-08
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Citation
Sensors, Vol.22 No.15, p. 5842
Abstract
Most face datasets target adults who can make their own decisions. In the case of children, consent from parents or guardians is necessary to collect biometric information, thus making it very difficult. As a result, the amount of data on children is quite small and inevitably private. In this work, we built a database by collecting face data of 74 children aged 2-7 years in daycare facilities. In addition, we conducted an experiment to determine the best location to perform face recognition on children by installing cameras in various locations. This study presents the points and methods to be considered to build a children's face dataset and also studies the optimal camera installation setups for the face recognition of children.
ISSN
1424-8220
URI
https://hdl.handle.net/10371/205449
DOI
https://doi.org/10.3390/s22155842
Files in This Item:
There are no files associated with this item.
Appears in Collections:

Related Researcher

  • Graduate School of Convergence Science & Technology
  • Department of Intelligence and Information
Research Area Feature Selection and Extraction, Object Detection, Object Recognition

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share