Business Joins Academia For Large-Scale Face-Search To Fight Crime, Terrorism
Surveillance cameras are omnipresent on modern life. In a famous example, London, England has one camera for every fourteen residents. The big problem is not gathering the data, but processing it in an efficient, effective, and timely manner. What is needed is the ability to quickly and accurately analyse and search the data in order to identify and apprehend terrorist and criminal suspects. To this end, Michigan State University (MSU) has licensed its automatic, large-scale face-search system to NEC Corp.
Biometrics expert Anil Jain, MSU Distinguished Professor of Computer Science and Engineering, Dayong Wang postdoctoral fellow at MSU, and Charles Otto, an MSU PhD student have developed the automatic, large-scale face-search system. The system can use a photo from a surveillance camera to search a database of face images for the closest match and quickly identify a suspect.
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