Moving objects detection based on frequency domain
Other Title(s)
تحسس الكائنات المتحركة بالاعتماد على مجال التردد
Joint Authors
Awwad, Jalal Hamid
Majid, Balsam Diya
Source
Issue
Vol. 17, Issue 2 (30 Jun. 2020), pp.556-566, 11 p.
Publisher
University of Baghdad College of Science for Women
Publication Date
2020-06-30
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
In this research a proposed technique is used to enhance the frame difference technique performance for extracting moving objects in video file.
One of the most effective factors in performance dropping is noise existence, which may cause incorrect moving objects identification.
Therefore it was necessary to find a way to diminish this noise effect.
Traditional Average and Median spatial filters can be used to handle such situations.
But here in this work the focus is on utilizing spectral domain through using Fourier and Wavelet transformations in order to decrease this noise effect.
Experiments and statistical features (Entropy, Standard deviation) proved that these transformations can stand to overcome such problems in an elegant way.
American Psychological Association (APA)
Awwad, Jalal Hamid& Majid, Balsam Diya. 2020. Moving objects detection based on frequency domain. Baghdad Science Journal،Vol. 17, no. 2, pp.556-566.
https://search.emarefa.net/detail/BIM-970253
Modern Language Association (MLA)
Awwad, Jalal Hamid& Majid, Balsam Diya. Moving objects detection based on frequency domain. Baghdad Science Journal Vol. 17, no. 2 (2020), pp.556-566.
https://search.emarefa.net/detail/BIM-970253
American Medical Association (AMA)
Awwad, Jalal Hamid& Majid, Balsam Diya. Moving objects detection based on frequency domain. Baghdad Science Journal. 2020. Vol. 17, no. 2, pp.556-566.
https://search.emarefa.net/detail/BIM-970253
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 566
Record ID
BIM-970253