Face Detection using Local Patterns in FPGA

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Face detection is currently one of the most common technologies used in a variety of applications. This paper presents the design and implementation of face detection with some local patterns for achieving real-time performance. It is designed to process the image received in real time from an industrial camera using local patterns to detect the face on the FPGA. Each development result is separately analyzed specifically in terms of hardware resources.

Original languageEnglish
Title of host publicationProceedings of the 2021 15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021
EditorsSukhan Lee, Hyunseung Choo, Roslan Ismail
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780738105086
DOIs
StatePublished - 4 Jan 2021
Event15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021 - Seoul, Korea, Republic of
Duration: 4 Jan 20216 Jan 2021

Publication series

NameProceedings of the 2021 15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021

Conference

Conference15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021
Country/TerritoryKorea, Republic of
CitySeoul
Period4/01/216/01/21

Keywords

  • Face detection
  • FPGA
  • Local pattern

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