Highway Traffic Monitoring Independent to Shadows in OpenCV

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10254808" target="_blank" >RIV/61989100:27240/23:10254808 - isvavai.cz</a>

Result on the web

<a href="https://pubs.aip.org/aip/acp/article-abstract/2849/1/310004/2909178/Highway-traffic-monitoring-independent-to-shadows?redirectedFrom=PDF" target="_blank" >https://pubs.aip.org/aip/acp/article-abstract/2849/1/310004/2909178/Highway-traffic-monitoring-independent-to-shadows?redirectedFrom=PDF</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1063/5.0162310" target="_blank" >10.1063/5.0162310</a>

Result language

angličtina

Original language name

Highway Traffic Monitoring Independent to Shadows in OpenCV

Original language description

The paper proposes the method for vehicle detection over the highway - two parallel traffic lines. The work follows some restrictions as the system must be useful during the day time from sunshine till sunset. The functionality must not be affected by outer shadows (trees, street lights, and so forth) and vehicle shadows - self shadow and cast shadow. The main restriction is in resources limitation to CPU cores only with the least possible requirement for computing capacity. The system is implemented in Python 3.x and uses the methods from the OpenCV library, which makes the code portable and easy to use, read and maintain. The algorithm detects all moving objects and filters the noise from detection to keep only vehicles and their shadow. A vehicle&apos;s area and its shadows are further analyzed by feature detection techniques to detect vehicles only. Present results show good accuracy of vehicle localization in real-time applications.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2023

Confidentiality

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

Article name in the collection

AIP Conference Proceedings

ISBN

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ISSN

0094-243X

e-ISSN

1551-7616

Number of pages

4

Pages from-to

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Publisher name

American Institute of Physics

Place of publication

New York

Event location

Rhodos

Event date

Sep 20, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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