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Digital Video Stabilization Verification Based on Genetic Algorithm Template MatchingPAVLOVIC, M. , BANJAC, Z. , KOVACEVIC, B.
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formal verification, genetic algorithms, image motion analysis, multispectral imaging, pattern matching
video(15), stabilization(11), systems(9), algorithm(8), genetic(7), algorithms(6), sensors(5), image(5), optical(4), matching(4)
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About this article
Date of Publication: 2022-05-31
Volume 22, Issue 2, Year 2022, On page(s): 53 - 60
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.02007
Web of Science Accession Number: 000810486800007
SCOPUS ID: 85131721772
Having high precision ground-truth data is a very important factor for the development and evaluation of computer vision algorithms such as digital video stabilization. However, generating this data is time consuming and cost intensive work, requiring a lot of manual effort. In this paper we both propose a way to automatically generate a large amount of accurate data for digital video stabilization verification and provide a comprehensive dataset of video sequences taken from multi-sensor imaging system with different types of disturbances. A novel method for generating verification data is based on genetic algorithm template matching. Paper provides quantitative analysis together with the visual assessment of digital video stabilization performance.
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