Araştırma Makalesi

A Note on Background Subtraction by Utilizing a New Tensor Approach

Cilt: 4 Sayı: Special Issue-1 26 Aralık 2016
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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

  1. [1] T. Bouwmans, Traditional and recent approaches in background modeling for foreground detection: An overview, Computer Science Review, 11 (2014) 31-66.
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  3. [3] W. Hu, X. Li, X. Zhang, X. Shi, S. Maybank, Z. Zhang, Incremental tensor subspace learning and its applications to foreground segmentation and tracking, International Journal of Computer Vision, 91 (2011) 303-327.
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  5. [5] Y. Li, J. Yan, Y. Zhou, J. Yang, Optimum subspace learning and error correction for tensors, Computer Vision–ECCV 2010, Springer2010, pp. 790-803.
  6. [6] Z. Zhang, G. Ely, S. Aeron, N. Hao, M. Kilmer, Novel methods for multilinear data completion and de-noising based on tensor-SVD, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition2014, pp. 3842-3849.
  7. [7] S. Ergin, S. Çakir, Ö.N. Gerek, M.B. Gülmezoğlu, A new implementation of common matrix approach using third-order tensors for face recognition, Expert Systems with Applications, 38 (2011) 3246-3251.
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

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

Kaynak Göster

APA
Işık, Ş., Özkan, K., Doğan, M., & Gerek, Ö. N. (2016). A Note on Background Subtraction by Utilizing a New Tensor Approach. International Journal of Intelligent Systems and Applications in Engineering, 4(Special Issue-1), 87-91. https://doi.org/10.18201/ijisae.267154
AMA
1.Işık Ş, Özkan K, Doğan M, Gerek ÖN. A Note on Background Subtraction by Utilizing a New Tensor Approach. International Journal of Intelligent Systems and Applications in Engineering. 2016;4(Special Issue-1):87-91. doi:10.18201/ijisae.267154
Chicago
Işık, Şahin, Kemal Özkan, Muzaffer Doğan, ve Ömer Nezih Gerek. 2016. “A Note on Background Subtraction by Utilizing a New Tensor Approach”. International Journal of Intelligent Systems and Applications in Engineering 4 (Special Issue-1): 87-91. https://doi.org/10.18201/ijisae.267154.
EndNote
Işık Ş, Özkan K, Doğan M, Gerek ÖN (01 Aralık 2016) A Note on Background Subtraction by Utilizing a New Tensor Approach. International Journal of Intelligent Systems and Applications in Engineering 4 Special Issue-1 87–91.
IEEE
[1]Ş. Işık, K. Özkan, M. Doğan, ve Ö. N. Gerek, “A Note on Background Subtraction by Utilizing a New Tensor Approach”, International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy Special Issue-1, ss. 87–91, Ara. 2016, doi: 10.18201/ijisae.267154.
ISNAD
Işık, Şahin - Özkan, Kemal - Doğan, Muzaffer - Gerek, Ömer Nezih. “A Note on Background Subtraction by Utilizing a New Tensor Approach”. International Journal of Intelligent Systems and Applications in Engineering 4/Special Issue-1 (01 Aralık 2016): 87-91. https://doi.org/10.18201/ijisae.267154.
JAMA
1.Işık Ş, Özkan K, Doğan M, Gerek ÖN. A Note on Background Subtraction by Utilizing a New Tensor Approach. International Journal of Intelligent Systems and Applications in Engineering. 2016;4:87–91.
MLA
Işık, Şahin, vd. “A Note on Background Subtraction by Utilizing a New Tensor Approach”. International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy Special Issue-1, Aralık 2016, ss. 87-91, doi:10.18201/ijisae.267154.
Vancouver
1.Şahin Işık, Kemal Özkan, Muzaffer Doğan, Ömer Nezih Gerek. A Note on Background Subtraction by Utilizing a New Tensor Approach. International Journal of Intelligent Systems and Applications in Engineering. 01 Aralık 2016;4(Special Issue-1):87-91. doi:10.18201/ijisae.267154

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