DocumentCode :
2015766
Title :
The privacy challenges of in-depth video analytics
Author :
Piatrik, Tomas ; Fernandez, Virginia ; Izquierdo, Ebroul
Author_Institution :
Queen Mary Univ. of London Mile End, London, UK
fYear :
2012
fDate :
17-19 Sept. 2012
Firstpage :
383
Lastpage :
386
Abstract :
The increasing need for both automated and privacy-respecting CCTV systems adds many challenges to the tasks of Video Analytics. The growing capabilities of automated surveillance systems lead to the automatic extraction and processing of complex and potentially personal data related to individuals who may not even be aware of it. This paper discusses the issues related to the processing of potentially sensitive information extracted from various computer vision algorithms and techniques such as person tracking, soft biometrics, behaviour analysis or multi-modal person identification, and delivers insights regarding technical solutions and guidelines for achieving a higher level of privacy compliance.
Keywords :
closed circuit television; computer vision; data privacy; video surveillance; automated CCTV systems; automated surveillance systems; behaviour analysis; computer vision algorithms; in-depth video analytics; multimodal person identification; person tracking; privacy challenges; privacy compliance; privacy-respecting CCTV systems; sensitive information processing; soft biometrics; Cameras; Data privacy; Privacy; Streaming media; Video surveillance; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing (MMSP), 2012 IEEE 14th International Workshop on
Conference_Location :
Banff, AB
Print_ISBN :
978-1-4673-4570-5
Electronic_ISBN :
978-1-4673-4571-2
Type :
conf
DOI :
10.1109/MMSP.2012.6343473
Filename :
6343473
Link To Document :
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