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FINDING FACES IN NEWS VIDEOS Demir Gokalp and Selim Aksoy
 

Summary: FINDING FACES IN NEWS VIDEOS
Demir GĻokalp and Selim Aksoy
Bilkent University
Department of Computer Engineering
Bilkent, 06800, Ankara, Turkey
Email: {dgokalp,saksoy}@cs.bilkent.edu.tr
ABSTRACT
People and their activities are important features in the con-
tent description of a multimedia document. The first step
in people detection is the detection of their faces. We de-
scribe an algorithm for face detection using color and shape
information. The proposed approach starts with skin seg-
mentation based on color. Distributions of color features
are modeled using mixtures of Gaussians and pixels are la-
beled as skin or non-skin in a Bayesian framework. After
the pixels are labeled, sequential opening and closing oper-
ations are applied for noise cleaning. Resulting shapes are
modeled according to their first and second order moments.
Template matching is applied to the regions with elliptical
shapes where the scale and orientation of the templates are

  

Source: Aksoy, Selim - Department of Computer Engineering, Bilkent University

 

Collections: Computer Technologies and Information Sciences