Eye on Troublesome Patterns SecurityInfoWatch.com

Researchers at The Ohio State University (OSU), Columbus, are perfecting a security algorithm that views and analyzes the way people move on campus. Developed by James W. Davis, Professor of Computer Science and Engineering at the university, the system combines video cameras with machine learning methods, enabling the computer to perform the kind of visual recognition that seems effortless for humans. It "remembers" typical traffic patterns and spots anomalies. It will be designed to flash on a stumbling or wandering person that may look questionable to security personnel: are they having a stroke? First implemented in the fall of 2009, the OSU smart system employs standard security cameras to scan views of thousands of people and identify potential problems.