TY  - JOUR
TT  - A new subspace based solution to background modelling and change detection
AU  - Işık, Şahin
AU  - Özkan, Kemal
AU  - Gerek, Ömer Nezih
AU  - Doğan, Muzaffer
PY  - 2016
DA  - December
DO  - 10.18201/ijisae.267148
JF  - International Journal of Intelligent Systems and Applications in Engineering
PB  - İsmail SARITAŞ
WT  - DergiPark
SN  - 2147-6799
SP  - 82
EP  - 86
VL  - 4
IS  - Special Issue-1
KW  - Common Vector Approach
KW  - Background Modelling
KW  - Foreground Detection
KW  - Moving Object Detection
N2  - Forsurveillance system, the background subtraction plays an important role formoving object detection with an algorithm embedded in the camera. Since theexistence algorithms cannot satisfy the good accuracy on complex backgroundsincluding illumination change and dynamic objects, we have put forward theconcept of Common Vector Approach (CVA) as a new idea for background modelling.Effectiveness of proposed method is presented through the experiments onpopular Wallflower dataset. The obtained visual outputs are compared withwell-known methods based on the subjective and objective criteria. From theoverall evaluation, we can note the proposed method is not only exhibitsuccessful foreground detection results, but also promises an effective andefficient system for background modelling.
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UR  - https://doi.org/10.18201/ijisae.267148
L1  - http://dergipark.org.tr/tr/download/article-file/233687
ER  -