Privacy Operating Characteristic for Privacy Protection in Surveillance Applications
With the mass deployment of cameras, concern has risen about protecting a person’s privacy as he goes about his daily life. Many of the cameras are installed to perform surveillance tasks that do not require the identity of a person. In the context of surveillance applications, we examine the trade-off between privacy and security. The trade-off is accomplished by looking at quantitative measures of privacy and surveillance performance. To provide privacy protection we examine the effect on surveillance performance of a parametric family of privacy function. A privacy function degrades images to make identification more difficult. By varying the parameter, different levels of privacy protection are provided. We introduce the privacy operating characteristic (POC) to quantitatively show the resulting trade-off between privacy and security. From a POC, policy makers can select the appropriate operating point for surveillance systems with regard to privacy.
KeywordsFace Recognition Facial Image Privacy Protection Degraded Image Surveillance Application
Unable to display preview. Download preview PDF.
- 3.Phillips, P.J., Moon, H., Rizvi, S., Rauss, P.: The FERET evaluation methodology for face-recognition algorithms. IEEE Trans. PAMI 22, 1090–1104 (2000)Google Scholar
- 4.Kirby, M., Sirovich, L.: Application of the karhunen-loeve procedure for the characterization of human faces. IEEE Trans. PAMI 12, 103–108 (1990)Google Scholar