lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Empty vehicle detection with video analytics
Aitek S., Italy.
Ansaldo STS, Italy ; University of Naples ”Federico II”, Italy.
Ansaldo STS, Italy. (CPS)ORCID iD: 0000-0002-2833-7196
University of Naples ”Federico II”, Italy.
Show others and affiliations
2013 (English)In: Image Analysis and Processing – ICIAP 2013. ICIAP 2013, Springer, 2013, no PART 2, p. 731-739Conference paper, Published paper (Refereed)
Abstract [en]

An important issue to be addressed in transit security, in particular for driverless metro, is the assurance that a vehicle is empty before it returns to the depot. Customer specifications in recent tenders require that an automatic empty vehicle detector is provided. That improves system security since it prevents voluntary (e.g. in case of thieves or graffiti makers) or involuntary (e.g. in case of drunk or unconscious people) access of unauthorized people to the depot and possibly to other restricted areas. Without automatic systems, a manual inspection of the vehicle should be performed, requiring considerable personnel effort and being prone to failure. To address the issue, we have developed a reliable empty vehicle detection system using video content analytics techniques and standard on-board cameras. The system can automatically check whether the vehicles have been cleared from passengers, thus supporting the security staff and central control operators in providing a higher level of security. © 2013 Springer-Verlag.

Place, publisher, year, edition, pages
Springer, 2013. no PART 2, p. 731-739
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 8157
Keywords [en]
empty vehicle detection, intelligent surveillance, Transit security, video content analysis, Automatic systems, Customer specifications, Driverless metro, Empty vehicle detections, Manual inspection, Video-content analysis, Image analysis, Video recording, Vehicles
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:lnu:diva-73659DOI: 10.1007/978-3-642-41184-7_74Scopus ID: 2-s2.0-84884716364ISBN: 9783642411830 (print)ISBN: 9783642411847 (electronic)OAI: oai:DiVA.org:lnu-73659DiVA, id: diva2:1213303
Conference
17th International Conference Naples, Italy, September 2013 Proceedings, Part II
Available from: 2018-06-04 Created: 2018-06-04 Last updated: 2019-03-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Flammini, Francesco

Search in DiVA

By author/editor
Flammini, Francesco
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 36 hits
CiteExportLink to record
Permanent link

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