Graduate School and Research Center in Digital Sciences

Synthetic and privacy-preserving visualization of video sensor network outputs

Velardo, Carmelo; Araimo, Claudia; Dugelay, Jean-Luc

ICDSC 2011, 5th ACM/IEEE International Conference on Distributed Smart Cameras, August 22-25, 2011, Ghent, Belgium

We propose a complete framework for people tracking in video surveillance networks that preserves privacy by mapping people recorded by a video sensor network in the map of the corresponding surveilled areas. Thanks to this approach, it is possible (1) to synthesize multiple video outputs into a unique picture, and (2) to control privacy by offering the possibility to filter information to viewers. A set of physical attributes, namely soft biometric characteristics, is used to provide the system with tracking capabilities. We demonstrate the feasibility of our approach by showing a real case application scenario.

Document Doi Bibtex

Title:Synthetic and privacy-preserving visualization of video sensor network outputs
Keywords:video surveillance; multiple camera; global mapping; privacy-preserving; soft biometrics
Type:Conference
Language:English
City:Ghent
Country:BELGIUM
Date:
Department:Digital Security
Eurecom ref:3442
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Bibtex: @inproceedings{EURECOM+3442, doi = {http://dx.doi.org/10.1109/ICDSC.2011.6042938 }, year = {2011}, title = {{S}ynthetic and privacy-preserving visualization of video sensor network outputs }, author = {{V}elardo, {C}armelo and {A}raimo, {C}laudia and {D}ugelay, {J}ean-{L}uc}, booktitle = {{ICDSC} 2011, 5th {ACM}/{IEEE} {I}nternational {C}onference on {D}istributed {S}mart {C}ameras, {A}ugust 22-25, 2011, {G}hent, {B}elgium}, address = {{G}hent, {BELGIUM}}, month = {08}, url = {http://www.eurecom.fr/publication/3442} }
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