Unconstrained License Plate Detection in Hardware

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU142897" target="_blank" >RIV/00216305:26230/21:PU142897 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.5220/0010174000130021" target="_blank" >http://dx.doi.org/10.5220/0010174000130021</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0010174000130021" target="_blank" >10.5220/0010174000130021</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Unconstrained License Plate Detection in Hardware

Popis výsledku v původním jazyce

In this paper, we propose an FPGA implementation of license plate detection (LPD) in images captured by arbitrarily placed cameras, vehicle-mounted cameras, or even handheld cameras. In such images, the license plates can appear in a wide variety of positions and angles. Thus we cannot rely on a-priori known geometric properties of the license plates as many contemporary applications do. Unlike the existing solutions targeted for DSP, FPGA or similar low power devices, we do not make any assumptions about license plate size and orientation in the image. We use multiple sliding window detectors based on simple image features, each tuned to a specific range of projections. On a dataset captured by a camera mounted on a vehicle, we show that detection rate is 98 % (and 98.7 % when combined with video tracking). We demonstrate that our FPGA implementation can process 1280×1024 pixel image at over 40 FPS with a minimum width of detected license plates approximately 100 pixels. The FPGA block is fully functional and it is intended to be used in a smart camera to parking control in residential zones.

Název v anglickém jazyce

Unconstrained License Plate Detection in Hardware

Popis výsledku anglicky

In this paper, we propose an FPGA implementation of license plate detection (LPD) in images captured by arbitrarily placed cameras, vehicle-mounted cameras, or even handheld cameras. In such images, the license plates can appear in a wide variety of positions and angles. Thus we cannot rely on a-priori known geometric properties of the license plates as many contemporary applications do. Unlike the existing solutions targeted for DSP, FPGA or similar low power devices, we do not make any assumptions about license plate size and orientation in the image. We use multiple sliding window detectors based on simple image features, each tuned to a specific range of projections. On a dataset captured by a camera mounted on a vehicle, we show that detection rate is 98 % (and 98.7 % when combined with video tracking). We demonstrate that our FPGA implementation can process 1280×1024 pixel image at over 40 FPS with a minimum width of detected license plates approximately 100 pixels. The FPGA block is fully functional and it is intended to be used in a smart camera to parking control in residential zones.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/8A18011" target="_blank" >8A18011: From the cloud to the edge - smart IntegraTion and OPtimization Technologies for highly efficient Image and VIdeo processing Systems</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS

ISBN

978-989-758-513-5

ISSN

—

e-ISSN

—

Počet stran výsledku

9

Strana od-do

13-21

Název nakladatele

SciTePress - Science and Technology Publications

Místo vydání

Praha

Místo konání akce

online

Datum konání akce

28. 4. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—