Paper Info
Title
The privacy challenges of in-depth video analytics
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.
Year
DOI
Venue
2012
10.1109/MMSP.2012.6343473
Multimedia Signal Processing
Keywords
DocType
ISSN
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
Conference
2163-3517
ISBN
Citations 
PageRank 
978-1-4673-4571-2
2
0.64
References 
Authors
14
3
Name
Order
Citations
PageRank
Tomas Piatrik1418.99
Virginia Fernandez Arguedas2274.20
ebroul izquierdo31050148.03