Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Baumann, A., Boltz, M., Ebling, J., Koeing, M., Loors, H.S., Merkel, M., Niem, W., Warzelhan, J.K., Yu, J.: A Review and Comparison of Measures for Automatic Video Surveillance Systems. EURASIP Journal on Image Video Processing (June 2008)
Black, J., Velastin, S.A., Boghossian, B.: A real time surveillance system for metropolitan railways. In: IEEE Conference on Advanced Video and Signal Based Surveillance, pp. 189–194 (2005)
Bocchetti, G., Flammini, F., Pappalardo, A., Pragliola, C.: Dependable integrated surveillance systems for the physical security of metro railways. In: Proc. 3rd ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2009), Como (Italy), August 30-September 2, pp. 1–7 (2009)
Candamo, J., Shreve, M., Glodgof, D.B., Sapper, D.B., Kasturi, R.: Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms. IEEE Transactions on Intelligent Transportations Systems 11(1) (March 2010)
Chang, J.-Y., Liao, H.-H., Che, L.-G.: Localized Detection of Abandoned Luggage. EURASIP Journal on Advances in Signal Processing, Article ID 675784 (2010)
Flammini, F.: Critical Infrastructure Security: Assessment, Prevention, Detection, Response. WIT Press (2011)
Grabner, H., Roth, P., Grabner, M., Bischof, H.: Autonomous Learning of a Robust Background Model for Change Detection. In: Proc. 9th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, pp. 39–46 (2006)
Manohar, V., Soundararajan, P., Raju, H., Goldgof, D.B., Kasturi, R., Garofolo, J.S.: Performance Evaluation of Object Detection and Tracking in Video. In: Narayanan, P.J., Nayar, S.K., Shum, H.-Y. (eds.) ACCV 2006. LNCS, vol. 3852, pp. 151–161. Springer, Heidelberg (2006)
Marpe, D., Wiegand, T., Sullivan, G.J.: The H.264/MPEG4 Advanced Video Coding Standard and its Applications. IEEE Communication Magazine (August 2006)
Nexera Motion Tracker, http://www.nexera.it/files/VMT_110426.pdf
Piñero, J.C.: Intelligent Video Results of testing 4 technologies on Madrid Metro. In: Procs. Joint UITP-CUTA International Security Conference, Montreal, Canada, November 11-12 (2009)
Räty, T.: Survey on Contemporary Remote Surveillance Systems for Public Safety. IEEE Transactions on Systems, Man and Cybernetics-Part C 40(5) (September 2010)
Spirito, M., Regazzoni, C.S., Marcenaro, L.: Automatic detection of dangerous events for underground surveillance. In: IEEE Conference on Advanced Video and Signal Based Surveillance, pp. 195–200 (2005)
Yin, F., Makris, D., Velastin, S.A., Orwell, J.: Quantitative evaluation of different aspects of motion trackers under various challenges. In: Quantitative Evaluation of Trackers, Annual of the BMVA, vol. 2010(5) (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cozzolino, A., Flammini, F., Galli, V., Lamberti, M., Poggi, G., Pragliola, C. (2012). Evaluating the Effects of MJPEG Compression on Motion Tracking in Metro Railway Surveillance. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P., Zemčík, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2012. Lecture Notes in Computer Science, vol 7517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33140-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-33140-4_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33139-8
Online ISBN: 978-3-642-33140-4
eBook Packages: Computer ScienceComputer Science (R0)