From: Jeffrey Waters 000-000-0000 <WATERSJ1@mail.firn.edu> Date: 06 Nov 1997 08:23:26 -0500 (EST) Subject: Finding a Face in the Crowd Found this on a visit to "Science NEWS - EurekAlert! Public Contents" at http://www.eurekalert.org . Interesting to note that the technology was developed with US military funding and is commercially marketed in the EU. Oh well Mr. Orwell, you've never believe how far we've come... "Mugspot" Can Find A Face In The Crowd - Award-Winning Face-Recognition Software Prepares to Go to Work in the Streets Computer "eyes" are now up to such tasks as watching for fugitives in airline terminals and other busy locations. A sophisticated face-recognition system that placed first in recent Army competitive trials has been given the added ability to pick out faces in noisy or chaotic "street" environments. The new "Mugspot" software module developed at the University of Southern California automatically analyzes video images, looking for passers-by. When it finds them, it picks out the heads in the images and then tracks the heads for as long as they remain in the camera's field. Throughout this tracking process, the software is watching for the best possible view of the subject's face -- the one that shows him or her looking most directly at the camera. It selects the best view presented and passes it on to the main face-recognition program. This face-recognition software, developed at USC and the University of Bochum, Germany, and now in commercial use for clients such as Germany's Deutsche Bank, is robust enough to make identifications from less-than- perfect face views. It can also often see through such impediments to identification as mustaches, beards, changed hair styles and glasses -- even sunglasses. <...snip...> Cameras mounted in airports and bus stations, or aimed at oncoming cars at traffic intersections, might continuously watch for known fugitives, von der Malsburg says. Bank surveillance cameras could identify persons seen at previous bank robberies. The Mugspot system can scan eight video frames per second in real time, and takes about 13 seconds to select the best view, process it for identification, compare it to the several hundred faces in its memory and decide whether it has found a match. The three research associates who developed Mugspot with von der Malsburg -- USC graduate student Egor Elagin, postdoctoral researcher Hartmut Neven and Bochum University visiting graduate student Johannes Steffens -- believe further refinement of the system can shorten that time by half. Mugspot is only the latest improvement in the USC/Bochum face recognition software, developed with funds from the Army Research Laboratory (ARL) and marketed commercially in Europe under the trade-name ZN-Face. <...snip...> The USC/Bochum system also shone in tests conducted under substandard lighting conditions: It lost only a small fraction of its accuracy, while competitors showed drastic falloffs in less-than-brilliant illumination. The USC/Bochum system uses an unusual approach that mimics the technique scientists believe the brain uses to recognize images. Von der Malsburg, whose principal research interests lie in the investigation of living brains, in fact carried out much of the original research on the system as part of an attempt to understand human face recognition. His research led to creating a computer model of the way the brain's visual cortex processes information. EM.MALSBURG3 -USC- NOV. 5, 1997 For Immediate Release: 5 November 1997 Contact: Eric Mankin mankin@usc.edu 213 740 9344 from the University of Southern California News Service 3620 South Vermont Avenue, Los Angeles, CA 90089-2538 Tel: 213 740 2215 Fax: 213 740 7600 http://www.usc.edu