Efficient Privacy Preserving Video Surveillance

Widespread use of surveillance cameras in offices and other business establishments, pose a significant threat to the privacy of the employees and visitors. The challenge of introducing privacy and security in such a practical surveil- lance system has been stifled by the enormous computa- tional and communication overhead required by the solu- tions. In this paper, we propose an efficient framework to carry out privacy preserving surveillance. We split each frame into a set of random images. Each image by itself does not convey any meaningful information about the orig- inal frame, while collectively, they retain all the informa- tion. Our solution is derived from a secret sharing scheme based on the Chinese Remainder Theorem, suitably adapted to image data. Our method enables distributed secure pro- cessing and storage, while retaining the ability to recon- struct the original data in case of a legal requirement. The system installed in an office like environment can ...

• Type: Conference
• Year: 2009
• Where: ICCV
• Authors: Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srinathan and C.V. Jawahar
• Keywords: Computer Vision, ICCV 2009, Video Surveillance