Face detection in complex environments from color images

Mohamed Abdel-Mottaleb, Ahmed Elgammal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

52 Scopus citations

Abstract

The detection of faces in color images is important for many multimedia applications. It is the first step for face recognition and it can be used for classifying specific shots such as anchorperson and talk show shots. In this paper, we present an algorithm for the detection of faces in color images. The algorithm works by first detecting areas of skin color, then it applies a top-down and a bottom-up analysis to the skin colored areas. The algorithm has been tested on images from news clips and other television programs. The results show that the algorithm is robust and works even for cases where there are objects in the background that have colors similar to the skin.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Place of PublicationLos Alamitos, CA, United States
PublisherIEEE
Pages622-626
Number of pages5
Volume3
StatePublished - Dec 1 1999
Externally publishedYes
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Jpn
Duration: Oct 24 1999Oct 28 1999

Other

OtherInternational Conference on Image Processing (ICIP'99)
CityKobe, Jpn
Period10/24/9910/28/99

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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    Abdel-Mottaleb, M., & Elgammal, A. (1999). Face detection in complex environments from color images. In IEEE International Conference on Image Processing (Vol. 3, pp. 622-626). IEEE.