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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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
Print ISBN: 978-3-642-38621-3
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