GRADIENT-BASED VEHICLE DETECTION USING A TWO-SEGMENT DETECTION FIELD

This paper presents a method of vehicle detection using the conversion of images from a source image sequence into binary target images. This conversion is performed on the basis of small image gradients. The location of binary values after conversion is in accordance with the edges of the converted...

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Main Author: Zbigniew CZAPLA
Format: Article
Language:English
Published: Silesian University of Technology 2017-09-01
Series:Scientific Journal of Silesian University of Technology. Series Transport
Subjects:
Online Access:http://sjsutst.polsl.pl/archives/2017/vol96/027_SJSUTST96_2017_Czapla.pdf
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author Zbigniew CZAPLA
author_facet Zbigniew CZAPLA
author_sort Zbigniew CZAPLA
collection DOAJ
description This paper presents a method of vehicle detection using the conversion of images from a source image sequence into binary target images. This conversion is performed on the basis of small image gradients. The location of binary values after conversion is in accordance with the edges of the converted image. For all processed images, a detection field is defined, which is composed of two segments. In the area of each segment, the sum of the edge values is calculated. On the basis of the calculated sums within the segments, an adjusted sum of the edge values is established, which allows for the determination of the state of the detection field. Vehicle detection is carried out by recognition of distinctive changes in the state of the detection field caused by the passing vehicle. Experimental results are provided.
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spelling doaj.art-30bcb8c3ba344995b42b15fb2528a9492022-12-21T20:13:48ZengSilesian University of TechnologyScientific Journal of Silesian University of Technology. Series Transport0209-33242450-15492017-09-0196273610.20858/sjsutst.2017.96.3GRADIENT-BASED VEHICLE DETECTION USING A TWO-SEGMENT DETECTION FIELDZbigniew CZAPLAThis paper presents a method of vehicle detection using the conversion of images from a source image sequence into binary target images. This conversion is performed on the basis of small image gradients. The location of binary values after conversion is in accordance with the edges of the converted image. For all processed images, a detection field is defined, which is composed of two segments. In the area of each segment, the sum of the edge values is calculated. On the basis of the calculated sums within the segments, an adjusted sum of the edge values is established, which allows for the determination of the state of the detection field. Vehicle detection is carried out by recognition of distinctive changes in the state of the detection field caused by the passing vehicle. Experimental results are provided.http://sjsutst.polsl.pl/archives/2017/vol96/027_SJSUTST96_2017_Czapla.pdfvehicle detectionimage conversiondetection field
spellingShingle Zbigniew CZAPLA
GRADIENT-BASED VEHICLE DETECTION USING A TWO-SEGMENT DETECTION FIELD
Scientific Journal of Silesian University of Technology. Series Transport
vehicle detection
image conversion
detection field
title GRADIENT-BASED VEHICLE DETECTION USING A TWO-SEGMENT DETECTION FIELD
title_full GRADIENT-BASED VEHICLE DETECTION USING A TWO-SEGMENT DETECTION FIELD
title_fullStr GRADIENT-BASED VEHICLE DETECTION USING A TWO-SEGMENT DETECTION FIELD
title_full_unstemmed GRADIENT-BASED VEHICLE DETECTION USING A TWO-SEGMENT DETECTION FIELD
title_short GRADIENT-BASED VEHICLE DETECTION USING A TWO-SEGMENT DETECTION FIELD
title_sort gradient based vehicle detection using a two segment detection field
topic vehicle detection
image conversion
detection field
url http://sjsutst.polsl.pl/archives/2017/vol96/027_SJSUTST96_2017_Czapla.pdf
work_keys_str_mv AT zbigniewczapla gradientbasedvehicledetectionusingatwosegmentdetectionfield