Using colour features to block dubious images

This paper describes a vision system that classifies web-images containing people. It works by identifying skin-coloured regions, extracting very simple features from these regions and making a classification decision. A two-stage skin filtering algorithm using likelihood matrices in HSV space followed by some local clustering works well. Our conclusion is that a simple approach using low-level features can work as well as much more complicated methods.