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A new method for vehicles detection and tracking using information and image processing    
Yazarlar (3)
Amine Mazouzi
Türkiye
Kerfa Djoudi
Türkiye
Prof. Dr. İsmail Rakıp KARAŞ Prof. Dr. İsmail Rakıp KARAŞ
Karabük Üniversitesi, Türkiye
Devamını Göster
Özet
In this article, a new method of vehicles detecting and tracking is presented: A thresholding followed by a mathematical morphology treatment are used. The tracking phase uses the information about a vehicle. An original labeling is proposed in this article. It helps to reduce some artefacts that occur at the detection level. The main contribution of this article lies in the possibility of merging information of low level (detection) and high level (tracking). In other words, it is shown that many artefacts resulting from image processing (low level) can be detected, and eliminated thanks to the information contained in the labeling (high level). The proposed method has been tested on many video sequences and examples are given illustrating the merits of our approach.
Anahtar Kelimeler
Image processing | Information processing | Labeling | Tracking | Vehicles detection
Makale Türü Özgün Makale
Makale Alt Türü SCOPUS dergilerinde yayımlanan tam makale
Dergi Adı International Journal of Electrical and Computer Engineering (IJECE)
Dergi ISSN 2088-8708 Scopus Dergi
Dergi Tarandığı Indeksler Scopus
Makale Dili İngilizce
Basım Tarihi 12-2021
Cilt No 11
Sayı 6
Sayfalar 4942 / 4949
Doi Numarası 10.11591/ijece.v11i6.pp4942-4949
Makale Linki http://dx.doi.org/10.11591/ijece.v11i6.pp4942-4949