Moving Objects Detection Based on Frequency Domain

Autor:	Jalal H. Awad, Balsam D. Majeed
Rok vydání:	2020
Předmět:	Frame difference General Computer Science General Mathematics Botany General Physics and Astronomy General Chemistry Average filter Agricultural and Biological Sciences (miscellaneous) General Biochemistry Genetics and Molecular Biology Mathematics
Zdroj:	Baghdad Science Journal. 17:0556
ISSN:	2411-7986 2078-8665
DOI:	10.21123/bsj.2020.17.2.0556
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ee3a75e7d6f90cce556f546ba77907ff https://doi.org/10.21123/bsj.2020.17.2.0556 Zobrazit plný text záznamu