Moving Objects Detection Based on Frequency Domain

Authors

jalal H. Awad, Department of Computer, College of Science, Almustansiriyah University, Baghdad, Iraq.Follow
Balsam D. Majeed, Department of Computer techniques Engineering, Imam Kadhim Faculty of Islamic Sciences UniversityFollow

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.

Keywords

Average filter, Fourier transformation, Frame difference, Median filter, Moving objects detection, Wavelet transformation

Article Type

Article

How to Cite this Article

Awad, jalal H. and Majeed, Balsam D. (2020) "Moving Objects Detection Based on Frequency Domain," Baghdad Science Journal: Vol. 17: Iss. 2, Article 5.
DOI: https://doi.org/10.21123/bsj.2020.17.2.0556