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A Virtualized Video Surveillance System for Public Transportation

: Marinc, T.; Gül, S.; Hellge, C.; Schüßler, P.; Riegel, T.; Amon, P.

Brefeld, U.:
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2019. Proceedings. Pt.III : Würzburg, Germany, September 16-20, 2019
Cham: Springer Nature, 2020 (Lecture Notes in Computer Science 11908)
ISBN: 978-3-030-46132-4 (Print)
ISBN: 978-3-030-46133-1 (Online)
ISBN: 978-3-030-46134-8
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) <2019, Würzburg>
Conference Paper
Fraunhofer HHI ()

Modern surveillance systems have recently started to employ computer vision algorithms for advanced analysis of the captured video content. Public transportation is one of the domains that may highly benefit from the advances in video analysis. This paper presents a video-based surveillance system that uses a deep neural network based face verification algorithm to accurately and robustly re-identify a subject person. Our implementation is highly scalable due to its container-based architecture and is easily deployable on a cloud platform to support larger processing loads. During the demo, the users will be able to interactively select a target person from pre-recorded surveillance videos and inspect the results on our web-based visualization platform.