Enhancement of Background Subtraction Techniques Using a Second Derivative in Gradient Direction Filter
Joint Authors
Wan Zaki, Wan Mimi Diyana
Abdul Rahman, Farah Yasmin
Md Tahir, Nooritawati
Badioze Zaman, Halimah
Hussain, Aini
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
A new approach was proposed to improve traditional background subtraction (BGS) techniques by integrating a gradient-based edge detector called a second derivative in gradient direction (SDGD) filter with the BGS output.
The four fundamental BGS techniques, namely, frame difference (FD), approximate median (AM), running average (RA), and running Gaussian average (RGA), showed imperfect foreground pixels generated specifically at the boundary.
The pixel intensity was lesser than the preset threshold value, and the blob size was smaller.
The SDGD filter was introduced to enhance edge detection upon the completion of each basic BGS technique as well as to complement the missing pixels.
The results proved that fusing the SDGD filter with each elementary BGS increased segmentation performance and suited postrecording video applications.
Evidently, the analysis using F-score and average accuracy percentage proved this, and, as such, it can be concluded that this new hybrid BGS technique improved upon existing techniques.
American Psychological Association (APA)
Abdul Rahman, Farah Yasmin& Hussain, Aini& Wan Zaki, Wan Mimi Diyana& Badioze Zaman, Halimah& Md Tahir, Nooritawati. 2013. Enhancement of Background Subtraction Techniques Using a Second Derivative in Gradient Direction Filter. Journal of Electrical and Computer Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-484033
Modern Language Association (MLA)
Abdul Rahman, Farah Yasmin…[et al.]. Enhancement of Background Subtraction Techniques Using a Second Derivative in Gradient Direction Filter. Journal of Electrical and Computer Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-484033
American Medical Association (AMA)
Abdul Rahman, Farah Yasmin& Hussain, Aini& Wan Zaki, Wan Mimi Diyana& Badioze Zaman, Halimah& Md Tahir, Nooritawati. Enhancement of Background Subtraction Techniques Using a Second Derivative in Gradient Direction Filter. Journal of Electrical and Computer Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-484033
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-484033