본문 바로가기
  • Home
Basic Search

Face Detection Using Shapes and Colors in Various Backgrounds

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2021, 26(7), pp.19-27
  • DOI : 10.9708/jksci.2021.26.07.019
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : May 27, 2021
  • Accepted : July 12, 2021
  • Published : July 30, 2021

Chang-Hyun Lee 1,  Hyun-Ji Lee 1,  Seung-Hyun Lee 1,  Joon-Taek Oh 1,  Seung Bo Park 1

1인하대학교

Accredited

ABSTRACT

In this paper, we propose a method for detecting characters in images and detecting facial regions, which consists of two tasks. First, we separate two different characters to detect the face position of the characters in the frame. For fast detection, we use You Only Look Once (YOLO), which finds faces in the image in real time, to extract the location of the face and mark them as object detection boxes. Second, we present three image processing methods to detect accurate face area based on object detection boxes. Each method uses HSV values extracted from the region estimated by the detection figure to detect the face region of the characters, and changes the size and shape of the detection figure to compare the accuracy of each method. Each face detection method is compared and analyzed with comparative data and image processing data for reliability verification. As a result, we achieved the highest accuracy of 87% when using the split rectangular method among circular, rectangular, and split rectangular methods.

Statistics

  • 348 Viewed
  • 126 Downloaded

Tools

Issue List

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.
Basic Search Advanced Search