Abstract
We propose a novel, very robust method for tracking a vehicle license plate in a sequence of low-resolution frames acquired by a video surveillance camera in order to reconstruct the license plate view in a super-resolution image. The tracking method is able to follow the license plate corners position with sub-pixel resolution and to compensate for small non translational spatial movements of the target during the motion by adopting a perspective transformation. In the reconstruction of the target each frame is perspectively transformed, aligned, cropped, de-convolved and interpolated to higher resolution. Eventually the data are combined into a super-resolution image.
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Marsi, S., Carrato, S., Ramponi, G. (2016). A Robust Tracking Algorithm for Super-Resolution Reconstruction of Vehicle License Plates. In: De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. Lecture Notes in Electrical Engineering, vol 351. Springer, Cham. https://doi.org/10.1007/978-3-319-20227-3_9
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DOI: https://doi.org/10.1007/978-3-319-20227-3_9
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