Extracting background model in video surveillance by using hybrid techniques
Other Title(s)
استخراج نموذج الخلفية في نظم مراقبة الفيديو باستخدام تقنيات هجينه
Joint Authors
Ali, Yusra Husayn
Muhammad, Muhammad Rajih
Source
Issue
Vol. 2019, Issue 31 (30 Jun. 2019), pp.48-64, 17 p.
Publisher
Publication Date
2019-06-30
Country of Publication
Iraq
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
One of the most important methods of video surveillance is background subtraction and one of its main steps is modeling of initial background image.
In this paper the initial background image is formed by using hybrid techniques (i.e.
k-mean and histogram).
When the proposed method is employed, the outcomes proposes that the correct color value of highest frequency in the greater cluster leads to modeling of the initial background image, which in turn results in more accurate image of background .
This accuracy is measured through PSNR (Peak Signal to Noise Ratio) metric.
Furthermore, the current study proposed a comparative study with other four methods (mean, median, histogram and k-mean) through the use of PSNR metric.
American Psychological Association (APA)
Ali, Yusra Husayn& Muhammad, Muhammad Rajih. 2019. Extracting background model in video surveillance by using hybrid techniques. al-Mansour،Vol. 2019, no. 31, pp.48-64.
https://search.emarefa.net/detail/BIM-947675
Modern Language Association (MLA)
Ali, Yusra Husayn& Muhammad, Muhammad Rajih. Extracting background model in video surveillance by using hybrid techniques. al-Mansour No. 31 (2019), pp.48-64.
https://search.emarefa.net/detail/BIM-947675
American Medical Association (AMA)
Ali, Yusra Husayn& Muhammad, Muhammad Rajih. Extracting background model in video surveillance by using hybrid techniques. al-Mansour. 2019. Vol. 2019, no. 31, pp.48-64.
https://search.emarefa.net/detail/BIM-947675
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 62-63
Record ID
BIM-947675