Moving Objects Detection Based on Frequency Domain image processing

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jalal hameed awad
https://orcid.org/0000-0002-9313-6681
Balsam Dhyia Majeed

Abstract

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.

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How to Cite
1.
awad jalal hameed, Majeed BD. Moving Objects Detection Based on Frequency Domain: image processing. Baghdad Sci.J [Internet]. 2020 May 11 [cited 2022 Nov. 30];17(2):0556. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/2998
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