Name
Abstract | ||
|---|---|---|
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 introducingprivacy 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 conveyany meaningful information about the orig- inal frame, while collectively, they retain all the informa- tion. Our solution is derived from a secret sharing scheme basedonthe Chinese RemainderTheorem, suitablyadapted 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 effectively detect and track people, or solve similar surveillance tasks. Our proposed paradigm is highly efficient compared to Se- cure Multiparty Computation, making privacy preserving surveillance, practical. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICCV.2009.5459370 | Kyoto |
Keywords | DocType | Volume |
data privacy,distributed processing,video surveillance,Chinese remainder theorem,distributed secure processing,privacy preserving video surveillance,random images,secret sharing scheme,secure multiparty computation,surveillance cameras | Conference | 2009 |
Issue | ISSN | ISBN |
1 | 1550-5499 E-ISBN : 978-1-4244-4419-9 | 978-1-4244-4419-9 |
Citations | PageRank | References |
17 | 0.75 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maneesh Upmanyu | 1 | 17 | 0.75 |
| Anoop M. Namboodiri | 2 | 255 | 26.36 |
| Kannan Srinathan | 3 | 422 | 41.70 |
| Jawahar, C.V. | 4 | 233 | 21.21 |