PrivacyCam: Tomorrow’s Smart Video Surveillance

Technology

Presented By - Ankur Chattopadhyay

Overview Motivation behind PrivacyCam

The PrivacyCam (a description) Applications

Analysis of the technology Conclusion

Today’s Surveillance Systems

SurveillanceCameras

Existing Monitoring

Security Cameras: Trustworthy?

Dr. Roger Johnston’s Keynote Speech on Security Blunders Research shows security cameras:-Don’t prevent crime -Can sometimes help solving crimes-Can be useful for criminal prosecution“If you are going to be using security cameras to invade our privacy, then it

better be for the right reasons” (Dr. Johnston’s Quote)

“Privacy invasion” (violation of the civil rights of individuals)

CCTVs displace crime outside camera bounds

Privacy issues restrict the use of camera in

many such places Unmonitored zones become easy/soft

targets for criminal activity

Present Surveillance Problems

“Eyes” Of A Camera Always Watching You Everywhere

The Challenge At Hand The critical question faced:-

How to apply surveillance in the right way and at the right place to enhance security and at the same time protect our fundamental privacy rights?

The answer:- PrivacyCam

- A surveillance model that is sensitive to privacy and hides identities

- An intelligent technology that addresses the issue of privacy protection

PrivacyCam: The Technology

Uses applied cryptography Privacy through invertible

cryptographic obscuration (PICO) technique

Modeled as an embedded system- Built on a tiny Blackfin DSP (Digital

Signal Processor) board- Includes a small Omnivision CMOS

camera module- Runs on a real time operating system

(uCLinux)

PrivacyCam: How It Looks

Blackfin DSP Module

Omnivision CMOS Camera Module

Integrated System:

PrivacyCam

Algorithm ImplementationCapture image from surveillance

Detect the region(s), which need(s) to be protected, from within the captured

image

Generate encryption key(s) and store the information of the key and detected region(s)

Encrypt the detected region(s) using the encryption key(s), thereby hiding the identity of the individual(s) for maintaining privacy

Results: PrivacyCam

Output Footage

Applications

Incidents of violence & trespassing on campus

Locker Room Elder Care Center

Analysis Of Technology

Strikes a fine balance Compact and affordable

Adaptive and stable Real time performance

Can be used to address the issue of racial discrimination

in security systems

Conclusion: Looking Ahead

Novel patent-pending technology

Anti-Discriminatory Cam

Future Scope/Challenges: - Improved Security of Key(s): Combination of Keys - Enhanced ROI Detection

References A Chattopadhyay, T Boult, “Privacy Cam: a

Privacy Preserving Camera Using uCLinux on the Blackfin DSP”, IEEE CVPR (2007)

T Boult, “PICO: Privacy Through Invertible Cryptographic Obscuration” , Computer Vision, Interactive & Intelligent Environments (2005)

A Senior, S Pankanti, A Hampapur, L Brown, Y Tian, A Ekin, “Blinkering Surveillance: Enabling Video Privacy through Computer Vision”, IEEE Security & Privacy (2005)

Beatrice von Silva,Tarouca Larsen, “Setting the Watch: Privacy & Ethics of CCTV Surveillance”

Open for questions & comments -

Thanks!

Outline Of Applied Algorithm