NDLI: Respectful cameras: detecting visual markers in real-time to address privacy concerns

Content Provider	IEEE Xplore Digital Library
Author	Schiff, J. Meingast, M. Mulligan, D.K. Sastry, S. Goldberg, K.
Copyright Year	2007
Description	Author affiliation: Univ. of California, Berkeley (Schiff, J.; Meingast, M.)
Abstract	To address privacy concerns with digital video surveillance cameras, we propose a practical, real-time approach that preserves the ability to observe actions while obscuring individual identities. In our proposed respectful cameras system, people who wish to remain anonymous agree to wear colored markers such as a hat or vest. The system automatically tracks these markers using statistical learning and classification to infer the location and size of each face and then inserts elliptical overlays. Our objective is to obscure the face of each individual wearing a marker, while minimizing the overlay area in order to maximize the remaining observable region of the scene. Our approach incorporates a visual color-tracker based on a 9 dimensional color-space by using a probabilistic AdaBoost classifier with axis-aligned hyperplanes as weak-learners. We then use particle filtering to incorporate interframe temporal information. We present experiments illustrating the performance of our system in both indoor and outdoor settings, where occlusions, multiple crossing targets, and lighting changes occur. Results suggest that the respectful camera system can reduce false negative rates to acceptable levels (under 2%).
Starting Page	971
Ending Page	978
File Size	1268343
Page Count	8
File Format	PDF
ISBN	9781424409112
DOI	10.1109/IROS.2007.4399122
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Privacy Robot vision systems Face detection Digital cameras Monitoring Smart cameras Real time systems Surveillance Space technology Humans
Content Type	Text
Resource Type	Article

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