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Performance evaluation of video analytics for surveillance on-board trains
University of Naples Federico II, Italy.
University of Naples Federico II, Italy ; Ansaldo STS, Italy.
Ansaldo STS, Italy.ORCID iD: 0000-0002-2833-7196
University of Naples Federico II, Italy.
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2013 (English)In: Advanced Concepts for Intelligent Vision Systems.  ACIVS 2013., Springer, 2013, p. 414-425Conference paper, Published paper (Refereed)
Abstract [en]

Real-time video-surveillance systems are nowadays widespread in several applications, including public transportation. In those applications, the use of automatic video content analytics (VCA) is being increasingly adopted to support human operators in control rooms. However, VCA is only effective when its performances are such to reduce the number of false positive alarms below acceptability thresholds while still detecting events of interest. In this paper, we report the results of the evaluation of a VCA system installed on a rail transit vehicle. With respect to fixed installations, on-board ones feature specific constraints on camera installation, obstacles, environment, etc. Several VCA performance evaluation metrics have been considered, both frame-based and object-based, computed by a tool developed in Matlab. We compared the results obtained using a commercial VCA system with the ones produced by an open-source one, showing the higher performance of the former in all test conditions. © 2013 Springer-Verlag.

Place, publisher, year, edition, pages
Springer, 2013. p. 414-425
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 8192
Keywords [en]
Intelligent video surveillance, Rail security, Video Content Analysis, Computer vision, Mass transportation, Video recording, Camera installation, Fixed installations, Performance evaluation metrics, Public transportation, Video analytics, Video surveillance systems, Video-content analysis, Security systems
National Category
Computer Systems
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-73664DOI: 10.1007/978-3-319-02895-8_37Scopus ID: 2-s2.0-84890878829ISBN: 9783319028941 (print)ISBN: 9783319028958 (print)OAI: oai:DiVA.org:lnu-73664DiVA, id: diva2:1213309
Conference
15th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2013; Poznan; Poland; 28 - 31 October 2013
Available from: 2018-06-04 Created: 2018-06-04 Last updated: 2018-06-11Bibliographically approved

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Flammini, Francesco

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
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  • asciidoc
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