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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Bibliographic Details
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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Summary: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.
ISSN:0209-3324
2450-1549