@article{(Open Science Index):https://publications.waset.org/pdf/5562,
	  title     = {Shadow Detection for Increased Accuracy of Privacy Enhancing Methods in Video Surveillance Edge Devices},
	  author    = {F. Matusek and  G. Pujolle and  R. Reda},
	  country	= {},
	  institution	= {},
	  abstract     = {Shadow detection is still considered as one of the
potential challenges for intelligent automated video surveillance
systems. A pre requisite for reliable and accurate detection and
tracking is the correct shadow detection and classification. In such a
landscape of conditions, privacy issues add more and more
complexity and require reliable shadow detection.
In this work the intertwining between security, accuracy,
reliability and privacy is analyzed and, accordingly, a novel
architecture for Privacy Enhancing Video Surveillance (PEVS) is
introduced. Shadow detection and masking are dealt with through the
combination of two different approaches simultaneously. This results
in a unique privacy enhancement, without affecting security.
Subsequently, the methodology was employed successfully in a
large-scale wireless video surveillance system; privacy relevant
information was stored and encrypted on the unit, without
transferring it over an un-trusted network.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {10},
	  year      = {2008},
	  pages     = {3379 - 3384},
	  ee        = {https://publications.waset.org/pdf/5562},
	  url   	= {https://publications.waset.org/vol/22},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 22, 2008},
	}