This paper introduces an auto-calibration mechanism for an Automatic Number Plate Recognition camera dedicated to a vehicle speed measurement. A calibration task is formulated as a multi-objective optimization problem and solved with Non-dominated Sorting Genetic Algorithm. For simplicity a uniform motion profile of a majority of vehicles is assumed. The proposed speed estimation method is based on tracing licence plates quadrangles recognized on video frames. The results are compared with concurrent measurements performed with piezoelectric sensors.
CITATION STYLE
Filipiak, P., Golenko, B., & Dolega, C. (2016). NSGA-II based auto-calibration of automatic number plate recognition camera for vehicle speed measurement. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9597, pp. 803–818). Springer Verlag. https://doi.org/10.1007/978-3-319-31204-0_51
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