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Vehicle Tracking Using Image Processing Techniques

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Book cover Rough Sets and Current Trends in Computing (RSCTC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3066))

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Abstract

A real time vehicle tracking in image sequences is presented. The moving vehicles are segmented by the method of differential image followed by the process of morphological dilation. The vehicles are recognized and tracked using statistical moments. The straight lines in the moving vehicles are found with the help of Radon transform. The direction of the moving object is calculated from the orientation of the straight lines in the direction of the principal axes of the moving objects. The direction of the moving object and the displacement of the object in the image sequence are used to calculate the velocity of the moving objects.

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© 2004 Springer-Verlag Berlin Heidelberg

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Rhee, S.H., Han, S., Kim, P.k., Ahmad, M.B., Park, J.A. (2004). Vehicle Tracking Using Image Processing Techniques. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds) Rough Sets and Current Trends in Computing. RSCTC 2004. Lecture Notes in Computer Science(), vol 3066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25929-9_84

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  • DOI: https://doi.org/10.1007/978-3-540-25929-9_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22117-3

  • Online ISBN: 978-3-540-25929-9

  • eBook Packages: Springer Book Archive

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