The Face Recognition and Video Processing Laboratory investigates advanced pattern recognition and video analytics methods and develops novel technologies to solve challenging problems, such as automated traffic incident detection and monitoring, facial recognition, image search, video retrieval, big-data analytics and visualization. Our video analytics system, which achieves next to a one order of magnitude improvement over RADAR for vehicle counting, has outperformed commercial systems for automated traffic incident detection and monitoring in challenging environments. Our facial recognition technology is able to reliably verify face images at a very low false-accept rate. Our patented face detection technology, iris detection and recognition technologies, and image-search technologies are additional focuses of the lab’s research and development work.
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