CCTVCV : Computer Vision model/dataset supporting CCTV forensics and privacy applications
Turtiainen, H., Costin, A., Hämäläinen, T., Lahtinen, T., & Sintonen, L. (2022). CCTVCV : Computer Vision model/dataset supporting CCTV forensics and privacy applications. In TrustCom 2022 : Proceedings of the IEEE 21st International Conference on Trust, Security and Privacy in Computing and Communications (pp. 1219-1226). IEEE. IEEE International Conference on Trust, Security and Privacy in Computing and Communications. https://doi.org/10.1109/trustcom56396.2022.00169
Published inIEEE International Conference on Trust, Security and Privacy in Computing and Communications
DisciplineSecure Communications Engineering and Signal ProcessingTekniikkaTietotekniikkaSecure Communications Engineering and Signal ProcessingEngineeringMathematical Information Technology
© 2022 IEEE
The increased, widespread, unwarranted, and unaccountable use of Closed-Circuit TeleVision (CCTV) cameras globally has raised concerns about privacy risks for the last several decades. Recent technological advances implemented in CCTV cameras, such as Artiﬁcial Intelligence (AI)-based facial recognition and Internet of Things (IoT) connectivity, fuel further concerns among privacy advocates. Machine learning and computer vision automated solutions may prove necessary and efﬁcient to assist CCTV forensics of various types. In this paper, we introduce and release the ﬁrst and only computer vision models are compatible with Microsoft common object in context (MS COCO) and capable of accurately detecting CCTV and video surveillance cameras in street view, generic images, and video frames. Our best detectors were built using 8,387 images, which were manually reviewed and annotated to contain 10,419 CCTV camera instances, and achieved an accuracy rate of up to 98.7%. This work proves fundamental to a handful of present and future applications that we discuss, such as CCTV forensics, pro-active detection of CCTV cameras, providing CCTV-aware routing, navigation, and geolocation services, and estimating their prevalence and density globally and on geographic boundaries. ...
Parent publication ISBN978-1-6654-9426-7
ConferenceIEEE International Conference On Trust, Security And Privacy In Computing And Communications
Is part of publicationTrustCom 2022 : Proceedings of the IEEE 21st International Conference on Trust, Security and Privacy in Computing and Communications
ISSN Search the Publication Forum2324-898X
Publication in research information system
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Additional information about fundingThe authors acknowledge the grants of computer capacity from the Finnish Grid and Cloud Infrastructure (persistent identiﬁer urn:nbn:ﬁ:research-infras-2016072533). Part of this research was supported by a grant from the Decision of the Research Dean on research funding within the Faculty (17.06.2020), Decision of the Research Dean on research funding within the Faculty (07.04.2021), and Decision of the Research Dean on research funding within the Faculty (20.04.2022) of the Faculty of Information Technology of University of Jyväskylä (The authors thank Dr. Andrei Costin for facilitating and managing the grant). Hannu Turtiainen thanks the Finnish Cultural Foundation / Suomen Kulttuurirahasto (https://skr.ﬁ/en) for supporting his Ph.D. dissertation work and research (under grant decision no.00221059) and the Faculty of Information Technology of the University of Jyväskylä (JYU), in particular, Prof. Timo Hämäläinen, for partly supporting and supervising his Ph.D. work at JYU in 2021–2023. ...
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CCTV-FullyAware : toward end-to-end feasible privacy-enhancing and CCTV forensics applications Turtiainen, Hannu; Costin, Andrei; Hämäläinen, Timo; Lahtinen, Tuomo; Sintonen, Lauri (IEEE, 2022)It is estimated that over 1 billion Closed-Circuit Television (CCTV) cameras are operational worldwide. The advertised main beneﬁts of CCTV cameras have always been the same; physical security, safety, and crime deterrence. ...
CCTV-Exposure: System for Measuring User’s Privacy Exposure to CCTV Cameras Turtiainen, Hannu; Costin, Andrei; Hämäläinen, Timo (Springer International Publishing, 2022)In this work, we present CCTV-Exposure – the first CCTV-aware solution to evaluate potential privacy exposure to closed-circuit television (CCTV) cameras. The objective was to develop a toolset for quantifying human exposure ...
Novel browser extension tool for image annotation : (Applications and use-cases in a novel CCTV-aware system) Lahtinen, Tuomo (2022)Camera surveillance has become a worldwide phenomenon that affects the lives of almost every person. People are not aware of how much they are entering the surveillance zone and for some people the patronizing surveillance ...
State-of-the-art object detection model for detecting CCTV and video surveillance cameras from images and videos Turtiainen, Hannu-Tapani (2020)As the current GDPR law in the EU prohibits unnecessary use of CCTV cameras in public places, and privacy concerns of smart CCTV cameras have been raised, CCTV cameras cannot be regarded as just easy tools to help secure ...
How location-based social network applications are being used Brennan, Sean (2015)Location-based social network applications have globally become very popular with the expansion of smartphone usage. Location-based social networks (LBSN) can be defined as a site that uses Web 2.0 technology, GPS, WiFi ...