International Journal of Intelligent Systems and Applications in Engineering
2016: Special Issue

A Note on Background Subtraction by Utilizing a New Tensor Approach

Işık, Şahin (Unknown)
Özkan, Kemal (Unknown)
Doğan, Muzaffer (Unknown)
Gerek, Ömer Nezih (Unknown)



Article Info

Publish Date
16 Dec 2016

Abstract

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.

Copyrights © 2016






Journal Info

Abbrev

IJISAE

Publisher

Subject

Computer Science & IT

Description

International Journal of Intelligent Systems and Applications in Engineering (IJISAE) is an international and interdisciplinary journal for both invited and contributed peer reviewed articles that intelligent systems and applications in engineering at all levels. The journal publishes a broad range ...