Abstract
We present a customized system for vehicle tracking and classification. The main purpose of the system is tracking the vehicles in order to understand lane changes, gates transits and other behaviors useful for traffic analysis. The classification of the vehicles into two classes (short vehicles vs. tall vehicles) is also performed for electronic truck-tolling as well as to optimize the performances of the tracker module. The whole system has been developed through a data driven approach based on video sequences acquired by QFree. (Q-Free (www.q-free.com) is a global supplier of solutions and products for Road User Charging and Advanced Transportation Management having applications mainly within electronic toll collection for road financing, congestion charging, truck-tolling, law enforcement and parking/access control.) The sequences are acquired by wide angle cameras from the top of the road and are preprocessed in order to obtain a normalized, low-resolution representation of the scene where the distance between neighboring pixels is constant in the real world. The sequences exhibit high variability in terms of lighting changes, contrast changes and distortion. We assume that the vehicle detection is performed by an external module for plate recognition.
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Battiato, S., Farinella, G.M., Furnari, A., Puglisi, G. (2016). A Customized System for Vehicle Tracking and Classification. In: Russo, G., Capasso, V., Nicosia, G., Romano, V. (eds) Progress in Industrial Mathematics at ECMI 2014. ECMI 2014. Mathematics in Industry(), vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-23413-7_2
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DOI: https://doi.org/10.1007/978-3-319-23413-7_2
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