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Proceedings Paper

Analysis of different background subtraction methods applied on drone imagery under various weather conditions in the UAE region
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Paper Abstract

The following paper presents a benchmarking study of the performance of thirty state of the art background subtraction algorithms. In this work, we test the performance of multiple background subtraction methods using drone imageries taken under various weather conditions in the UAE region. This is done by comparing the quality of the foreground mask that is extracted when using these algorithms. Visual Studio and MATLAB has been used to perform the comparison simulations, which would give us a comprehensive background subtraction study to indicate the advantages and disadvantages of each of the algorithms. The algorithms must be robust to stabilization errors, able to cope with insufficient information as a result from various weather conditions such as wind, haze and heat, and able to cope with dynamic backgrounds.

Paper Details

Date Published: 19 September 2019
PDF: 13 pages
Proc. SPIE 11169, Artificial Intelligence and Machine Learning in Defense Applications, 111690M (19 September 2019);
Show Author Affiliations
Abdullah Hasan AlSaadi, Khalifa Univ. of Science, Technology and Research (United Arab Emirates)
Issacniwas Swamidoss, Khalifa Univ. of Science, Technology and Research (United Arab Emirates)
Abdulrahman Almarzooqi, Khalifa Univ. of Science, Technology and Research (United Arab Emirates)
Slim Sayadi, Khalifa Univ. of Science, Technology and Research (United Arab Emirates)


Published in SPIE Proceedings Vol. 11169:
Artificial Intelligence and Machine Learning in Defense Applications
Judith Dijk, Editor(s)

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