A new subspace based solution to background modelling and change detection

Year 2016, Volume: 4 Issue: Special Issue-1, 82 - 86, 26.12.2016

Şahin Işık , Kemal Özkan , Ömer Nezih Gerek , Muzaffer Doğan

https://doi.org/10.18201/ijisae.267148

Cited By: 1

Abstract

For
surveillance system, the background subtraction plays an important role for
moving object detection with an algorithm embedded in the camera. Since the
existence algorithms cannot satisfy the good accuracy on complex backgrounds
including illumination change and dynamic objects, we have put forward the
concept of Common Vector Approach (CVA) as a new idea for background modelling.
Effectiveness of proposed method is presented through the experiments on
popular Wallflower dataset. The obtained visual outputs are compared with
well-known methods based on the subjective and objective criteria. From the
overall evaluation, we can note the proposed method is not only exhibit
successful foreground detection results, but also promises an effective and
efficient system for background modelling.

Keywords

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

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