Journalism in the areas of crime, the supernatural and miscellaneous weird stuff are not my usual choices in reading or viewing, at least not in the daytime, but there’s nothing more fascinating than a mystery, except for a clever solution to a mystery. One interesting aspect of this compelling TV show from the United States, which is generally broadcast late at night around the weekend, is that every episode of Unsolved Mysteries involves facial recognition as the solution or an important element of the story’s mystery. Other types of visual recognition can be an important feature in the narratives. One episode of the show recently broadcast in Australia was a murder mystery in which a police officer who had just investigated a murder later attended the home of the victim’s girlfriend who had disappeared. Just by chance the police officer looked into a linen closet and noticed in there pillow-slips with a fabric design which matched the sheet that had been found wrapped around the boyfriend’s body. I’ll bet that’s a variety of visual recognition that the scientists haven’t named yet.
While catching up with reading some back issues of New Scientist magazine today I came across another story about a criminal conviction that resulted from some very sharp soft-furnishing fabric design recognition skills on the part of an American law-enforcement officer. It’s not a nice story, not nice at all, but at least there’s some inspiration to be found in the good people using technology to fight the vile crime of child sexual abuse. An investigator at the National Center for Missing and Exploited Children noticed that among the countless horrible images received at the NCMEC two were of girls of a similar age on what looked like the same bedspread of a distinctive appearance. I have no idea how the police trace these things, but the locations where that style of bedspread were sold were identified, and this was the clue that led to the identification of the children and the criminal. Google have developed for the NCMEC software designed to achieve similar feats of visual object recognition as the investigator’s human visual recognition of the bedspread. It is hoped that the automation of the identification of items of interior decoration in images of child abuse will help to solve more crimes. Of course, the NCMEC also works to identify the child victims of crime themselves, in the Child Victim Identification Program. Google, Yahoo and Microsoft are partners in the NCMEC’s Technology Coalition, and the application of technology to the task of identification is viewed as the only way to deal with the increasing volume of pornographic material submitted to the NCMEC every year.
Unsolved Mysteries http://www.unsolved.com/
Peter Aldhous Fighting online child porn. New Scientist. April 9th 2011. p.23-24. http://www.newscientist.com/article/mg21028075.000-automating-the-hunt-for-child-pornographers.html
National Center for Missing & Exploited Children (US) http://www.missingkids.com/missingkids/servlet/PublicHomeServlet?