Abstract
The Smart City concept arises from the need to provide more intelligent and optimized applications for the development of future urban centers. Traffic monitoring including surveillance is becoming a problem as cities are getting larger and crowded with vehicles. Intelligent video applications for outdoor scenarios need for good quality, stable and robust signal in every moment or climate condition. In this paper we present a radar signal surveillance application that works in real-time, in 360 degrees, with long range up to 400 meters away from the detector, with daylight or night, or even with adverse climatology like fog presence, detecting and tracking high speed vehicles in urban areas.
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References
Bernardin, K., Stiefelhagen, R.: Evaluating multiple object tracking performance: the clear mot metrics. EURASIP Journal on Image and Video Processing 2008(1), 1–10 (2008)
Cabido, R., Montemayor, A.S., Pantrigo, J.J., Payne, B.R.: Multiscale and local search methods for real time region tracking with particle filters: local search driven by adaptive scale estimation on GPUs. Machine Vision & Applications 21(1), 43–58 (2009)
Gordon, N., Salmond, D., Smith, A.: Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEEE Proceedings F. Radar and Singal Processing 140(2), 107–113 (1993)
Jing, L., Vadakkepat, P.: Interacting MCMC particle filter for tracking maneuvering target. Digital Signal Processing 22(1), 54–65 (2010)
Kasturi, R., Goldgof, D., Soundararajan, P., Manohar, V., Garofolo, J., Boonstra, M., Korzhova, V., Zhang, J.: Framework for performance evaluation of face, text, and vehicle detection and tracking in video: data, metrics and protocol. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(2), 319–336 (2009)
Lanterman, A.D.: Passive radar imaging and target recognition using illuminators of opportunity. In: RTO SET Symposium on “Target Identification and Recognition Using RF Systems” (2004)
Pantrigo, J.J., Sánchez, A., Mira, J.: Representation spaces in a visual based human action recognition system. Neurocomputing 72(4-6), 901–915 (2009)
Porikli, F., Ivanov, Y., Haga, T.: Robust abandoned object detection using dual foregrounds. EURASIP J. Adv. Signal Process 2008 (2008)
Rossi, C., Abderrahim, M., Dìaz, J.C.: Tracking moving optima using Kalman-based predictions. Evolutionary Computation 16(1), 1–30 (2008)
Sánchez-Oro, J., Fernández-López, D., Cabido, R., Montemayor, A.S.: Radar-based road-traffic monitoring in urban environments. Digital Signal Processing 23(1), 364–374 (2013)
Zotkin, D.N., Duraiswami, R., Davis, L.S.: Joint audio-visual tracking using particle filters. EURASIP Journal on Applied Signal Processing 2002(1), 1154–1164 (2002)
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Sánchez-Oro, J., Fernández-López, D., Cabido, R., Montemayor, A.S., Pantrigo, J.J. (2013). Urban Traffic Surveillance in Smart Cities Using Radar Images. In: Ferrández Vicente, J.M., Álvarez Sánchez, J.R., de la Paz López, F., Toledo Moreo, F.J. (eds) Natural and Artificial Computation in Engineering and Medical Applications. IWINAC 2013. Lecture Notes in Computer Science, vol 7931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38622-0_31
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DOI: https://doi.org/10.1007/978-3-642-38622-0_31
Publisher Name: Springer, Berlin, Heidelberg
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