CVABS: moving object segmentation with common vector approach for videos

Background modelling is a fundamental step for several real‐time computer vision applications that requires security systems and monitoring. An accurate background model helps to detect the activity of moving objects in the video. In this work, the authors have developed a new subspace‐based backgro...

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Bibliographic Details
Main Authors: Şahin Işık, Kemal Özkan, Ömer Nezih Gerek
Format: Article
Language:English
Published: Wiley 2019-12-01
Series:IET Computer Vision
Subjects:
Online Access:https://doi.org/10.1049/iet-cvi.2018.5642