Recently I have gone through a post that says, Scientists at the University of California, San Diego (UCSD) are developing an automated system for detecting and tracking faces in a crowd. The surveillance system links a network of 360-degree cameras which interact "intelligently," thanks to sophisticated computer algorithms developed at UCSD's Computer Vision and Robotics Research (CVRR) laboratory.
The Technical Support Working Group (TSWG) has awarded $600,000 to the 18-month project led by CVRR director Mohan Trivedi, a professor of electrical and computer engineering at UCSD's Jacobs School of Engineering.
TSWG is a twenty-year old interagency forum that identifies, prioritizes, and coordinates interagency and international research and development (R&D) requirements for combating terrorism. In response to a special Broad Agency Announcement (a call for bids) post-9/11, TSWG received over 12,500 research proposals from industry, academic, government and national labs. Of those, only roughly 60 have been awarded approximately $50 million.
The UCSD project is one of nine winning proposals that deal with video for public safety and surveillance. "Detecting and tracking a possible terrorist is of paramount importance in combating terrorism," said TSWG program manager. "UCSD's proposal was consistent with our overall view that networks of 'smart' cameras could be one of the principal solutions to this problem - and a solution that could happen rather quickly with the appropriate level of funding."
SOURCE : INTERNET
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