Events

"General Electric’s Computer Vision Technology"

Peter H. Tu, GE Global Research, NY, Computer Vision Group

April 21st (Thursday), 1:30pm
Harold Frank Hall (HFH), Rm 4164


The GE Computer Vision group supports the computer vision needs of all the GE businesses. This talk will discuss a number of these technologies and their applications. Topics to be covered will include, person detection and tracking, crowd segmentation, articulated motion analysis, behavior analysis, person reacquisition, facial analysis and facial reconstruction from skeletal remains. The talk will conclude with a discussion of our views towards a multi-platform approach to Intelligence, Reconnaissance and Surveillance (ISR).

About Peter H. Tu:

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.

Hosted by: Professor B.S. Manjunath