A Note on Background Subtraction by Utilizing a New Tensor Approach

Yıl 2016, Cilt: 4 Sayı: Special Issue-1, 87 - 91, 26.12.2016

Şahin Işık , Kemal Özkan , Muzaffer Doğan Ömer Nezih Gerek

https://doi.org/10.18201/ijisae.267154

Cited By: 1

https://izlik.org/JA45NC69WT

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

Common Matrix Approach , Background Modelling , Foreground Detection , Moving Object Detection

Kaynakça

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