Kural tabanli görüntü işleme ile araç arka işiklarinin gece ortaminda belirlenmesi

Translated title of the contribution: Nighttime vehicle tail light detection with rule based image processing

Gizem Muslu, Bülent Bolat

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

In this paper, an algorithm is presented for nighttime vehicle tail lights detection which is a combination of Haar cascade classifier and rule based image processing. Haar, which is frequently used for vehicle detection in literature and tail lights or rear vision of vehicles are used for detection. However, these algorithms are mostly for daytime vehicle detection. In this paper, we present an algorithm and experimental results for, Haar cascade classifier and rule based image processing combination for nighttime vehicle tail light detection. Experimental results show that the proposed method detects with high accuracy than most of vehicle tail light detection algorithms that using a single classifier.

Translated title of the contributionNighttime vehicle tail light detection with rule based image processing
Original languageTurkish
Title of host publication2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728110134
DOIs
Publication statusPublished - Apr 2019
Externally publishedYes
Event2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019 - Istanbul, Turkey
Duration: 24 Apr 201926 Apr 2019

Publication series

Name2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019

Conference

Conference2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019
Country/TerritoryTurkey
CityIstanbul
Period24/04/1926/04/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

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