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2016 | OriginalPaper | Buchkapitel

NSGA-II Based Auto-Calibration of Automatic Number Plate Recognition Camera for Vehicle Speed Measurement

verfasst von : Patryk Filipiak, Bartlomiej Golenko, Cezary Dolega

Erschienen in: Applications of Evolutionary Computation

Verlag: Springer International Publishing

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Abstract

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.

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Fußnoten
1
By the term roughly calibrated it is meant that a camera is mounted at its desired location, it points at the road and its focal length is vaguely set with a bare eye such that number plates are readable on the captured images.
 
2
Infinitely-distant points of the 3D space correspond to \(s = 0\) which make them invisible in the image space.
 
3
The notations of \(x^{(\cdot )}\) and \(y^{(\cdot )}\) were introduced in Sect. 4.
 
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2.
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3.
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Metadaten
Titel
NSGA-II Based Auto-Calibration of Automatic Number Plate Recognition Camera for Vehicle Speed Measurement
verfasst von
Patryk Filipiak
Bartlomiej Golenko
Cezary Dolega
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-31204-0_51

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