Construction of a robust background model for moving object detection in video sequence
Other Title(s)
بناء نموذج خلفية فعال لكشف هدف متحرك في سلسلة فيديو
Author
Source
Issue
Vol. 59, Issue 2B (30 Jun. 2018), pp.969-979, 11 p.
Publisher
University of Baghdad College of Science
Publication Date
2018-06-30
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Background Subtraction (BGS) is one of the main techniques used for moving object detection which further utilized in video analysis, especially in video surveillance systems.
Practically, acquiring a robust background (reference) image is a real challenge due to the dynamic change in the scene.
Hence, a key point to BGS is background modeling, in which a model is built and repeatedly used to reconstruct the background image.
From N frames the proposed method store N pixels at location(x,y) in a buffer, then it classify pixel intensity values at that buffer using a proposed online clustering model based on the idea of relative run length, the cluster center with the highest frequency will be adopted as the background pixel value at location (x,y).
For background updating, two approaches has been proposed to repeatedly update background image.
The experiment results show that the average Precision, Recall and F-measure for the proposed method was 0.89, 0.96 and 0.93 respectively.
While the average time in seconds required to construct background pixel from a buffer of size 50, 100 and 150 pixel was 0.0022813 sec , 0.0510166 sec and 0.12240419 sec respectively.
American Psychological Association (APA)
Karim, Abd al-Amir Abd Allah. 2018. Construction of a robust background model for moving object detection in video sequence. Iraqi Journal of Science،Vol. 59, no. 2B, pp.969-979.
https://search.emarefa.net/detail/BIM-838073
Modern Language Association (MLA)
Karim, Abd al-Amir Abd Allah. Construction of a robust background model for moving object detection in video sequence. Iraqi Journal of Science Vol. 59, no. 2B (2018), pp.969-979.
https://search.emarefa.net/detail/BIM-838073
American Medical Association (AMA)
Karim, Abd al-Amir Abd Allah. Construction of a robust background model for moving object detection in video sequence. Iraqi Journal of Science. 2018. Vol. 59, no. 2B, pp.969-979.
https://search.emarefa.net/detail/BIM-838073
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 978-979
Record ID
BIM-838073