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Detection of infrastructure manipulation with knowledge-based video surveillance

: Münch, David; Hilsenbeck, Barbara; Kieritz, Hilke; Becker, Stefan; Grosselfinger, Ann-Kristin; Hübner, Wolfgang; Arens, Michael


Burgess, D. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XII : Edinburgh, United Kingdom, September 26, 2016
Bellingham, WA: SPIE, 2016 (Proceedings of SPIE 9995)
Paper 99950O, 9 pp.
Conference "Optics and Photonics for Counterterrorism, Crime Fighting, and Defence" <12, 2016, Edinburgh>
Conference Paper
Fraunhofer IOSB ()
appearance-based person detection; skin detection; situation recognition; manipulation detection; visual logfile generation; scene analysis

We are living in a world dependent on sophisticated technical infrastructure. Malicious manipulation of such critical infrastructure poses an enormous threat for all its users. Thus, running a critical infrastructure needs special attention to log the planned maintenance or to detect suspicious events. Towards this end, we present a knowledge-based surveillance approach capable of logging visual observable events in such an environment. The video surveillance modules are based on appearance-based person detection, which further is used to modulate the outcome of generic processing steps such as change detection or skin detection. A relation between the expected scene behavior and the underlying basic video surveillance modules is established. It will be shown that the combination already provides sufficient expressiveness to describe various everyday situations in indoor video surveillance. The whole approach is qualitatively and quantitatively evaluated on a prototypical scenario in a server room.