Real-time detection of children's skin on social networking sites using Markov random field modelling

Mofakharul Islam*, Paul A. Watters, John Yearwood

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Social networking sites are increasingly being used as the source for paedophiles to search for, download and exchange child exploitation images. Law Enforcement Agencies (LEAs) around the world face a difficult challenge to combat technologically-savvy paedophiles. In this paper, we propose a framework for detecting images containing children's pictures in different poses, with the ultimate view of identifying and classifying images as corresponding to the COPINE scale. To achieve the goal of automatic detection, we present a novel stochastic vision model based on a Markov Random Fields (MRF) prior, which will employ a skin model and human affine-invariant geometric descriptor to detect and identify skin regions containing pornographic contexts.

Original languageEnglish
Pages (from-to)51-58
Number of pages8
JournalInformation Security Technical Report
Volume16
Issue number2
DOIs
Publication statusPublished - May 2011
Externally publishedYes

Keywords

  • Child exploitation
  • Forensics
  • MRF models
  • Skin models

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