Abstract
One of the main tasks of the statistical traffic analysis is its rating due to the size, type or number of axles. A typical method for measuring the volume of traffic along with the initial classification is based on data derived from inductive sensors and load cells. The possibilities of such a system are however limited, therefore in recent years a great interest in machine vision systems can be observed. An interesting image analysis technique that allows a rapid classification of the types of vehicles observed from the side view is the shape analysis. It can be applied for binary images, for which the values of shape descriptors such as e.g. Feret’s diameter can be calculated, as well as some additional quantities such as the center of gravity determined for greyscale images. The article presents the results of the shape analysis obtained for different types of vehicles observed from the camera placed beside the road.
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References
Canny, J.: A Computational Approach To Edge Detection. IEEE Trans. Pattern Analysis and Machine Intelligence 8(6), 679–698 (1986)
Frejlichowski, D.: Trademark Recognition Using the PDH Shape Descriptor. Annales UMCS – Informatica 8(1), 67–73 (2008)
Kindratenko, V.: Development and Application of Image Analysis Techniques for Identification and Classification of Microscopic Particles. PhD thesis, Antwerp University (1997)
Okarma, K., Mazurek, P.: Background Estimation Algorithm for Optical Car Tracking Applications. Machinebuilding and Electrical Engineering 7-8, 7–10 (2006)
Okarma, K., Lech, P.: Monte Carlo Based Algorithm for Fast Preliminary Video Analysis. In: Bubak, M., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2008, Part I. LNCS, vol. 5101, pp. 790–799. Springer, Heidelberg (2008)
Okarma, K., Lech, P.: Application of the Monte Carlo Preliminary Image Analysis and Classification Method for the Automatic Reservation of Parking Space. Machine Graphics and Vision 18(4), 439–452 (2009)
Traffic Detector Handbook: Third Edition, Publication No. FHWA-HRT-06-108, Federal Highway Administration, vol. I, US Department of Transportation (2006)
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Okarma, K., Mazurek, P. (2010). Application of Shape Analysis Techniques for the Classification of Vehicles. In: Mikulski, J. (eds) Transport Systems Telematics. TST 2010. Communications in Computer and Information Science, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16472-9_24
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DOI: https://doi.org/10.1007/978-3-642-16472-9_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16471-2
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