Abstract
In this paper a technique is presented to estimate vehicle velocity using intensity profiles. This technique does not require background estimation or even the identification and tracking of individual vehicles. On the other hand, it requires the estimation of virtual images that represent a bird eye view of the scenario. This is achieved estimating an homography assuming that each lane on the image is parallel on the ground plane. To each rectified lane, an intensity profile is computed along the traffic flow direction for each frame, obtaining an image that represents the displacement as a time function. The main idea is to search for the best matching profile for different times and spaces on each lane, consequently obtaining the velocity profile.
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© 2009 Springer-Verlag Berlin Heidelberg
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Maduro, C., Batista, K., Batista, J. (2009). Estimating Vehicle Velocity Using Image Profiles on Rectified Images. In: Araujo, H., Mendonça, A.M., Pinho, A.J., Torres, M.I. (eds) Pattern Recognition and Image Analysis. IbPRIA 2009. Lecture Notes in Computer Science, vol 5524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02172-5_10
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DOI: https://doi.org/10.1007/978-3-642-02172-5_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02171-8
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