Face detection in complex environments from color images

Mohamed Abdel-Mottaleb, Ahmed Elgammal

Research output: Contribution to conferencePaperpeer-review

58 Scopus citations


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 (US)
Number of pages5
StatePublished - 1999
Externally publishedYes
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Jpn
Duration: Oct 24 1999Oct 28 1999


OtherInternational Conference on Image Processing (ICIP'99)
CityKobe, Jpn

All Science Journal Classification (ASJC) codes

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


Dive into the research topics of 'Face detection in complex environments from color images'. Together they form a unique fingerprint.

Cite this