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Image-Based Situation Assessment in Public Space

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Future Security (Future Security 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 318))

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Abstract

This paper describes various technical solutions related to image IP video surveillance systems in public spaces. Standard image processing procedures can compress event data, in this case people movements, and automatically capture it for aggregated processing in control center components for normal and emergency situations. Data from video sensors covering large areas may have to be fused. Reusable IT components, such as simulation models or scheduling systems, help various stakeholders perform their jobs based on a standard and unique base of data. Furthermore, new range imaging sensors or new visualization standards such as the virtual bird’s-eye view improve surveillance of events in public spaces and thus support security staff.

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References

  1. Höferlin, M., Höferlin, B., Weiskopf, D.: Video visual analytics of tracked moving objects. In: Proceedings of 3rd Workshop on Behaviour Monitoring and Interpretation, pp. 59–64. Ghent University, Belgium (2009)

    Google Scholar 

  2. Reggelin, T.: Mesoskopische Modellierung und Simulation logistischer Flusssysteme, Dissertation, Universität Otto-von-Guericke, Magdeburg (2010)

    Google Scholar 

  3. Treiber, M., Hennecke, A., Helbing, D.: Congested traffic states in empirical observations and microscopic simulations. Physical Review E 62(2), 1805–1824 (2000)

    Article  Google Scholar 

  4. Szeliski, R.: Image Alignment and Stitching: A Tutorial. Microsoft TechReport MSR-TR-2004-92, Microsoft Research 2004 (2006)

    Google Scholar 

  5. Kopf, J., Chen, B., Szeliski, R., Cohen, M.: Street Slide: Browsing Street Level Imagery. In: Hoppe, H. (ed.) ACM Transactions on Graphics (TOG) Proceedings of ACM SIGGRAPH 2010, vol. 29 (4), pp. 96(1)–96(8). ACM, New York (2010)

    Google Scholar 

  6. Agarwal, A.C.: A Survey of Planar Homography Estimation Techniques. In: Jawahar, V., Narayanan, P.J. (eds.) IIIT Technical Report IIIT/TR/2005/12 (Juni 2005)

    Google Scholar 

  7. Hayashi, K., Saito, H.: Synthesizing Free-Viewpoint Images from Multiple View Videos in Soccer Stadium. In: International Conference on Computer Graphics, Imaging and Visualization, pp. 220–225. IEEE Computer Society, Los Alamitos (2006)

    Google Scholar 

  8. Wang, C., Zhao, L.: Intermediate View Synthesis Based on Adaptive BP Algorithm and View Interpolation. JCIT, 72–81 (2010)

    Google Scholar 

  9. Hafen und Mehr – Effizienzsteigerung in Logistikknoten am Beispiel des Magdeburger Binnenhafens, Projektträger Investitionsbank Sachsen-Anhalt, FKZ 6060140101

    Google Scholar 

  10. Borstell, H., Richter, K., Nykolaychuk, M.: Die Virtuelle Draufsicht für den Teamsport - Aggregation bildgebender Sensorquellen. In: Frühjahrsschule Informations- und Kommunikationstechnologien in der angewandten Trainingswissenschaft, vol. 13, pp. 48–61. IAT Selbstverlag, des IAT, Leipzig (2011)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Borstell, H., Gebert, B., Cao, L., Plate, C., Richter, K. (2012). Image-Based Situation Assessment in Public Space. In: Aschenbruck, N., Martini, P., Meier, M., Tölle, J. (eds) Future Security. Future Security 2012. Communications in Computer and Information Science, vol 318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33161-9_10

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  • DOI: https://doi.org/10.1007/978-3-642-33161-9_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33160-2

  • Online ISBN: 978-3-642-33161-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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