Multi-platform approach to Intelligence, Reconnaissance and Surveillance (ISR)
Peter H. Tu
Abstract
Speaker's Bio
In 1990 Dr. Tu joined Sony Research in Tokyo Japan, where he developed a number of computer vision algorithms for man-machine interfaces. While at Oxford University, his research was devoted to the development of computer vision methods for the autuomatic analysis of seismic imagery. In 1997 Dr. Tu became a senior research scientist working at General Electric_s Global Research center. In partnership with Lockheed Martin, he has developed a set of latent fingerprint matching algorithms for the FBI Automatic Fingerprint Identification System (AFIS). Dr. Tu has also developed optical methods for the precise measurement of 3D parts in a manufacturing setting. Dr. Tu is the principal investigator for the FBI ReFace project, which is tasked with developing an automatic system for face reconstruction from skeletal remains. In 2006, he was the principal investigator for the National Institute of Justice_s 3D Face Enhancer Program. This work was focused on improving face recognition from poor quality surveillance video. Currently Dr. Tu is leading a group of 15 researchers in the field of multi-view video analysis with the aim of achieving reliable behavior recognition in complex environments. He has helped to develop a large number analytic capabilities including: person detection from fixed and moving platforms, crowd segmentation, multi-view tracking, person reacquisition, face modeling, face expression analysis, face recognition at a distance, face verification from photo IDs and articulated motion analysis.