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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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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