Improved Gaussian mixture model with background spotter for the extraction of moving objects
Joint Authors
Farou, Ibrahim
Siridi, Hamid
Akdag, Herman
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 6A(s) (31 Dec. 2016)
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Extraction of moving objects is a key step in a visual surveillance area.
Many background models have been proposed to resolve this problem, but Gaussian Mixture Model (GMM) remains the most successful approach for background subtraction.
However, the method suffers from sensitivity (SE) to local variations; variations in the brightness and background complexity mislead the process to a false detection.
In this paper, an efficient method is presented to deal with GMM problems through improvement on updating selected pixels by introducing a background spotter.
First, the extracted frame is divided into several equal size regions.
Each region is assigned to a spotter who will report significant environment changes based on histogram analysis.
Only parts reported by spotters are considered and updated in the background model.
Tests carried out on four video databases that take into account various factors, demonstrate the effectiveness of our system in real-world situations.
American Psychological Association (APA)
Farou, Ibrahim& Siridi, Hamid& Akdag, Herman. 2016. Improved Gaussian mixture model with background spotter for the extraction of moving objects. The International Arab Journal of Information Technology،Vol. 13, no. 6A(s).
https://search.emarefa.net/detail/BIM-693666
Modern Language Association (MLA)
Farou, Ibrahim…[et al.]. Improved Gaussian mixture model with background spotter for the extraction of moving objects. The International Arab Journal of Information Technology Vol. 13, no. 6A (Special issue) (Dec. 2016).
https://search.emarefa.net/detail/BIM-693666
American Medical Association (AMA)
Farou, Ibrahim& Siridi, Hamid& Akdag, Herman. Improved Gaussian mixture model with background spotter for the extraction of moving objects. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6A(s).
https://search.emarefa.net/detail/BIM-693666
Data Type
Journal Articles
Language
English
Notes
Includes appendices.
Record ID
BIM-693666