DocumentCode :
3682655
Title :
Skin-based privacy filter for surveillance systems
Author :
Wai Lam Hoo;Alina Miron;Atta Badii;Chee Seng Chan
Author_Institution :
Centre of Image &
fYear :
2015
Firstpage :
269
Lastpage :
272
Abstract :
With surveillance monitoring becoming widely available with the emergence of high resolution cameras, privacy concerns have been raised. One way to achieve privacy protection is by employing a privacy preserving device that can protect persons´ identity, but still provide sufficient information to detect anomalous events if necessary. The skin region is important as a Personally Identifying Information (PII) that needs to be obscured if privacy is to be protected. Thus, this paper presents skin detection techniques to conceal privacy sensitive information. However, state-of-the-art skin detection methods suffer from various problems when deployed in a surveillance system. Accordingly, we propose a solution whereby we first find a set of candidate Regions-of-Interest (RoI) and then apply skin detection to the RoI thus found so as to locate the skin. By using this strategy, skin regions can be well delineated to allow targeted privacy filtering without covering the non-RoI parts.
Keywords :
"Skin","Privacy","Detectors","Surveillance","Cameras","Detection algorithms","Visualization"
Publisher :
ieee
Conference_Titel :
Systems, Signals and Image Processing (IWSSIP), 2015 International Conference on
ISSN :
2157-8672
Electronic_ISBN :
2157-8702
Type :
conf
DOI :
10.1109/IWSSIP.2015.7314228
Filename :
7314228
Link To Document :
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