A Note on Background Subtraction by Utilizing a New Tensor Approach
Öz
This study deals with determining the foreground region by background subtraction based on a new tensor decomposition method. With this aim, the concept of Common Matrix Approach (CMA) is utilized with a purpose of background modelling. The performance of proposed method is validated by making experiments on real videos provided by Wallflower dataset. The obtained results are compared with well-known methods based on subjective on objective evaluation measures. The obtained good results indicate that using the CMA algorithm for background modelling is a simple and effective technique in terms computational cost and implementation. As an eventual result, we have observed that the superior results are determined on complex backgrounds including dynamic objects and illumination variation in image sets.
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Şahin Işık
Türkiye
Kemal Özkan
ESKISEHIR OSMANGAZI UNIV
Türkiye
Muzaffer Doğan
Bu kişi benim
ANADOLU ÜNİVERSİTESİ
Türkiye
Ömer Nezih Gerek
ANADOLU ÜNİVERSİTESİ
Türkiye
Yayımlanma Tarihi
26 Aralık 2016
Gönderilme Tarihi
18 Kasım 2016
Kabul Tarihi
8 Aralık 2016
Yayımlandığı Sayı
Yıl 2016 Cilt: 4 Sayı: Special Issue-1
Cited By
Probabilistic static foreground elimination for background subtraction
The Imaging Science Journal
https://doi.org/10.1080/13682199.2019.1672849