Detail výsledku

Holistic Recognition of Low Quality License Plates by CNN using Track Annotated Data

ŠPAŇHEL, J.; SOCHOR, J.; JURÁNEK, R.; HEROUT, A.; MARŠÍK, L.; ZEMČÍK, P. Holistic Recognition of Low Quality License Plates by CNN using Track Annotated Data. In International Workshop on Traffic and Street Surveillance for Safety and Security (AVSS 2017). Lecce: IEEE Computer Society, 2017. p. 1-6. ISBN: 978-1-5386-2939-0.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Špaňhel Jakub, Ing., Ph.D., UPGM (FIT)
Sochor Jakub, Ing., Ph.D., FIT (FIT), UPGM (FIT)
Juránek Roman, Ing., Ph.D., UPGM (FIT)
Herout Adam, prof. Ing., Ph.D., UPGM (FIT)
Maršík Lukáš, Ing., FIT (FIT), UPGM (FIT)
Zemčík Pavel, prof. Dr. Ing., dr. h. c., UAMT (FEKT), UPGM (FIT)
Abstrakt



This work is focused on recognition of license plates in low resolution and low quality images. We present a methodology for collection of real world (non-synthetic) dataset of low quality license plate images with ground truth transcriptions. Our approach to the license plate recognition is based on a Convolutional Neural Network which holistically processes the whole image, avoiding segmentation of the license plate characters. Evaluation results on multiple datasets show that our method significantly outperforms other free and commercial solutions to license plate recognition on the low quality data. To enable further research of low quality license plate recognition, we make the datasets publicly available.

Klíčová slova

holistic license plate recognition, convolutional neural network, low resolution, low quality

URL
Rok
2017
Strany
1–6
Sborník
International Workshop on Traffic and Street Surveillance for Safety and Security (AVSS 2017)
Konference
Advanced Video and Signal Based Surveillance, 14th IEEE International Conference on
ISBN
978-1-5386-2939-0
Vydavatel
IEEE Computer Society
Místo
Lecce
DOI
10.1109/AVSS.2017.8078501
UT WoS
000426203700043
EID Scopus
2-s2.0-85039906342
BibTeX 
@inproceedings{BUT144463,
  author="Jakub {Špaňhel} and Jakub {Sochor} and Roman {Juránek} and Adam {Herout} and Lukáš {Maršík} and Pavel {Zemčík}",
  title="Holistic Recognition of Low Quality License Plates by CNN using Track Annotated Data",
  booktitle="International Workshop on Traffic and Street Surveillance for Safety and Security (AVSS 2017)",
  year="2017",
  pages="1--6",
  publisher="IEEE Computer Society",
  address="Lecce",
  doi="10.1109/AVSS.2017.8078501",
  isbn="978-1-5386-2939-0",
  url="http://ieeexplore.ieee.org/abstract/document/8078501/"
}
Projekty
IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, zahájení: 2016-01-01, ukončení: 2020-12-31, ukončen
RODOS - Centrum pro rozvoj dopravních systémů, TAČR, Centra kompetence, TE01020155, zahájení: 2012-04-01, ukončení: 2018-03-31, ukončen
Zpracování, zobrazování a analýza multimediálních a 3D dat, VUT, Vnitřní projekty VUT, FIT-S-17-3984, zahájení: 2017-03-01, ukončení: 2020-02-29, ukončen
Výzkumné skupiny
Výzkumná skupina počítačové grafiky (VZ GRAPH)
Pracoviště
Ústav počítačové grafiky a multimédií (UPGM)
Nahoru