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Application-driven merging and analysis of person trajectories for distributed smart camera networks

: Metzler, Jürgen; Monari, Eduardo; Kuntzsch, C.

Postprint urn:nbn:de:0011-n-3015000 (3.6 MByte PDF)
MD5 Fingerprint: 7a3129901b5a4591f35da92c8c26751d
Copyright Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Erstellt am: 31.3.2015

Loce, R.P. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.; Society for Imaging Science and Technology -IS&T-:
Video surveillance and transportation imaging applications 2014 : 3 - 5 February 2014, San Francisco, California, United States; proceedings
Bellingham, WA: SPIE, 2014 (Proceedings of SPIE 9026)
ISBN: 978-0-8194-9943-1
Paper 90260I, 9 S.
Conference "Video Surveillance and Transportation Imaging Applications" <2014, San Francisco/Calif.>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
video surveillance; distributed smart camera networks; trajectory analysis

Tracking of persons and analysis of their trajectories are important tasks of surveillance systems as they support the monitoring personnel. However, this trend is accompanied by an increasing demand on smarter camera networks carrying out surveillance tasks autonomously. Thus, there is a higher system complexity so that requirements on the video analysis algorithms are increasing as well. In this paper, we present a system concept and application for anonymously gathering, processing and analysis of trajectories in distributed smart camera networks. It allows a multitude of analysis techniques such as inspecting individual properties of the observed movement in real-time. Additionally, the anonymous movement data allows long-term storage and big data analyses for statistical purposes. The system described in this paper has been implemented as prototype system and deployed for proof of concept under real conditions at the entrance hall of the Leibniz University Hannover. It shows an overall stable performance, particularly with respect to significant illumination changes over hours, as well as regarding the reduction of false positives by post processing and trajectory merging performed on top of a panorama based person detection module.