Abstract
Current development of security sensor networks and their processing algorithms use pre-recorded or abstract data streams for testing, often missing important ground truth for validation. This paper proposes a simulation-based test bed, presenting an approach to use commercial off the shelf virtual reality environments to create adaptive simulations of sensors, data streams and scenarios for training and testing perceptive algorithms. An example using airborne visual multi object tracking is discussed and validated.
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References
Medusa Consortium: Multi Sensor Data Fusion Grid for Urban Situational Awareness, http://medusa-project.eu
Collins, R., Lipton, A., Fujiyoshi, H., Kanade, T.: Algorithms for cooperative multisensor surveillance. Proc. of the IEEE 89(10), 1456–1477 (2001)
Doulaverakis, C., Konstantinou, N., Knape, T., Kompatsiaris, I., Soldatos, J.: An approach to intelligent information fusion in sensor saturated urban environments. In: Proc. of IEEE European Intelligence and Security Informatics Conference (EISIC), pp. 108–115 (2011)
Burger, W., Barth, M.J.: Virtual Reality for enhanced computer vision. In: Proc. IFIP 5.10 Workshop on Virtual Environments (1994)
Hummel, G., Stütz, P.: Conceptual design of a simulation test bed for ad-hoc sensor networks based on a serious gaming environment. In: Proc. Intl. Training and Education Conference, ITEC (2011)
Kovács, L.: Benedek, C.: Visual real-time detection, recognition and tracking of ground and airborne targets. In: Proc. Computational Imaging IX, SPIE-IS&T Electronic Imaging, vol. 7873, pp. 787311-1–787311-12. SPIE (2011)
Máttyus, G., Benedek, C., Szirányi, T.: Multi target tracking on aerial videos. In: Proc. of ISPRS Workshop on Modeling of Optical Airborne and Space Borne Sensors (2010)
Taixe, L.L., Heydt, M., Rosenhahn, A., Rosenhahn, B.: Automatic tracking of swimming microorganisms in 4D digital in-line holography data. In: Proc. of WMVC, pp. 1–9 (2009)
Virtual Battlespace 2, Bohemia Interactive Simulations, http://armory.bisimulations.com/products/vbs2/overview
Amir, Y., Nita-Rotaru, C., Stanton, J., Tsudik, G.: Secure Spread: An Integrated Architecture for Secure Group Communication. IEEE Trans. on DSC 2(3), 248–266 (2005)
Salehi, A., Riahi, M., Michel, S., Aberer, K.: GSN, middleware for Stream World. In: Proc. of 10th Intl. Conf. on Mobile Data Management, MDM (2009)
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Hummel, G., Kovács, L., Stütz, P., Szirányi, T. (2012). Data Simulation and Testing of Visual Algorithms in Synthetic Environments for Security Sensor Networks. 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_31
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DOI: https://doi.org/10.1007/978-3-642-33161-9_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33160-2
Online ISBN: 978-3-642-33161-9
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