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  4. CamInSens - demonstration of a distributed smart camera system for in-situ threat detection
 
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2012
Conference Paper
Title

CamInSens - demonstration of a distributed smart camera system for in-situ threat detection

Abstract
The CamInSens system is a next-generation selforganizing video surveillance system that combines research being done in the fields of person-tracking, trajectory analysis, visual analytics, and self-organizing system management algorithms. Its purpose is the online threat detection by analysing anomalies in persons trajectories. Therefore, robust multicamera multi-person tracking is combined with a flexible analysis module, which uses online learning classification algorithms as well as user-generated filters to process the persons trajectories in the surveillance space.
Author(s)
Grenz, Carsten
Jänen, Uwe
Hähner, Jörg
Kuntzsch, Colin
Menze, Moritz
D'Angelo, David  
Bogen, Manfred  
Monari, Eduardo
Mainwork
ICDSC 2012, 6th ACM/IEEE International Conference on Distributed Smart Cameras  
Conference
International Conference on Distributed Smart Cameras (ICDSC) 2012  
DOI
10.24406/publica-fhg-377537
File(s)
001.pdf (10.91 MB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • distributed resource management

  • multi-camera multi-person tracking

  • self-learning classification of spatio-temporal trajectory data

  • visualization and interaction with self-organizing smart camera systems

  • classification algorithm

  • distributed smart cameras

  • multi-person tracking

  • self-organizing system

  • threat detection

  • trajectory analysis

  • video surveillance systems

  • visual analytics

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