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Evaluating the effects of MJPEG compression on motion tracking in metro railway surveillance
Nexera Scpa, Itlay.
Ansaldo STS, Italy.ORCID iD: 0000-0002-2833-7196
Ansaldo STS, Italy.
Ansaldo STS, Italy.
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2012 (English)In: Advanced Concepts for Intelligent Vision Systems. ACIVS 2012: 14th International Conference, ACIVS 2012, Brno, Czech Republic, September 4-7, 2012. Proceedings / [ed] Jacques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders, Pavel Zemčík, Springer, 2012, p. 142-154Conference paper, Published paper (Refereed)
Abstract [en]

Video content analytics is being increasingly employed for the security surveillance of mass-transit systems. The growing number of cameras, the presence of legacy networks, the limited bandwidth of wireless links, are some of the issues which highlight the importance of evaluating the performance of motion tracking against different levels of video compression. In this paper, we report the results of such an evaluation considering false-negative and false-positive metrics applied to videos captured from cameras installed in a real metro-railway environment. The evaluation methodology is based on the manual generation of the Ground Truth on selected videos at growing levels of MJPEG compression, and on its comparison with the Algorithm Result automatically generated by the Motion Tracker. The computation of reference performance metrics is automated by a tool developed in Matlab. Results are discussed with respect to the main causes of false detections, and hints are provided for further industrial applications. © 2012 Springer-Verlag.

Place, publisher, year, edition, pages
Springer, 2012. p. 142-154
Series
Lecture Notes in Computer Science ; 7517
Keywords [en]
intelligent video surveillance, mass-transit systems, MJPEG codec, motion tracking, performance evaluation, Automatically generated, Evaluation methodologies, False detections, Ground truth, Legacy networks, Limited bandwidth, Motion tracker, Performance metrics, Security surveillance, Video contents, Wireless link, Cameras, Image compression, Industrial applications, Railroads
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:lnu:diva-73672DOI: 10.1007/978-3-642-33140-4_13Scopus ID: 2-s2.0-84866386267ISBN: 9783642331398 (print)OAI: oai:DiVA.org:lnu-73672DiVA, id: diva2:1213858
Conference
14th International Conference, ACIVS, 4-7 September 2012, Brno
Note

Conference code: 92770; Cited By :11; Export Date: 26 April 2018; Conference Paper; Correspondence Address: Cozzolino, A.; Nexera Scpa, Centro Direzionale Isola A/3, Naples, Italy; email: acozzolino@nexera.it; References: Baumann, A., Boltz, M., Ebling, J., Koeing, M., Loors, H.S., Merkel, M., Niem, W., Yu, J., A Review and Comparison of Measures for Automatic Video Surveillance Systems (2008) EURASIP Journal on Image Video Processing, , June; Black, J., Velastin, S.A., Boghossian, B., A real time surveillance system for metropolitan railways (2005) IEEE Conference on Advanced Video and Signal Based Surveillance, pp. 189-194; Bocchetti, G., Flammini, F., Pappalardo, A., Pragliola, C., Dependable integrated surveillance systems for the physical security of metro railways (2009) Proc. 3rd ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2009), Como (Italy), August 30-September 2, pp. 1-7; Candamo, J., Shreve, M., Glodgof, D.B., Sapper, D.B., Kasturi, R., Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms (2010) IEEE Transactions on Intelligent Transportations Systems, 11 (1). , March; Chang, J.-Y., Liao, H.-H., Che, L.-G., Localized Detection of Abandoned Luggage (2010) EURASIP Journal on Advances in Signal Processing, , Article ID 675784; Flammini, F., (2011) Critical Infrastructure Security: Assessment, Prevention, Detection, Response, , WIT Press; Grabner, H., Roth, P., Grabner, M., Bischof, H., Autonomous Learning of a Robust Background Model for Change Detection (2006) Proc. 9th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, pp. 39-46; Manohar, V., Soundararajan, P., Raju, H., Goldgof, D.B., Kasturi, R., Garofolo, J.S., Performance Evaluation of Object Detection and Tracking in Video (2006) LNCS, 3852, pp. 151-161. , Narayanan, P.J., Nayar, S.K., Shum, H.-Y. (eds.) ACCV 2006. Springer, Heidelberg; Marpe, D., Wiegand, T., Sullivan, G.J., The H.264/MPEG4 Advanced Video Coding Standard and its Applications (2006) IEEE Communication Magazine, , August; http://www.nexera.it/files/VMT_110426.pdf; Piñero, J.C., Intelligent Video Results of testing 4 technologies on Madrid Metro Procs. Joint UITP-CUTA International Security Conference, Montreal, Canada, November 11-12 (2009); Räty, T., Survey on Contemporary Remote Surveillance Systems for Public Safety (2010) IEEE Transactions on Systems, Man and Cybernetics-Part C, 40 (5). , September; Spirito, M., Regazzoni, C.S., Marcenaro, L., Automatic detection of dangerous events for underground surveillance (2005) IEEE Conference on Advanced Video and Signal Based Surveillance, pp. 195-200; Yin, F., Makris, D., Velastin, S.A., Orwell, J., Quantitative evaluation of different aspects of motion trackers under various challenges (2010) Quantitative Evaluation of Trackers, Annual of the BMVA, 2010 (5)

Available from: 2018-06-05 Created: 2018-06-05 Last updated: 2018-09-13Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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