An improved block matching algorithm for motion estimation in video sequences and application in robotics

Article

Bhattacharjee, K., Kumar, S., Pandey, H., Pant, M., Windridge, D. and Chaudhary, A. 2018. An improved block matching algorithm for motion estimation in video sequences and application in robotics. Computers & Electrical Engineering. 68, pp. 92-106. https://doi.org/10.1016/j.compeleceng.2018.03.045
TypeArticle
TitleAn improved block matching algorithm for motion estimation in video sequences and application in robotics
AuthorsBhattacharjee, K., Kumar, S., Pandey, H., Pant, M., Windridge, D. and Chaudhary, A.
Abstract

Block Matching is one of the most efficient techniques for motion estimation for video sequences. Metaheuristic algorithms have been used effectively for motion estimation. In this paper, we propose two hybrid algorithms: Artificial Bee Colony with Differential Evolution and Harmony Search with Differential Evolution based motion estimation algorithms. Extensive experiments are conducted using four standard video sequences. The video sequences utilized for experimentation have all essential features such as different formats, resolutions and number of frames which are generally required in input video sequences. We compare the performance of the proposed algorithms with other algorithms considering various parameters such as Structural Similarity, Peak Signal to Noise Ratio, Average Number of Search Points etc. The comparative results demonstrate that the proposed algorithms outperformed other algorithms.

KeywordsBlock matching; Differential evolution; Harmony search; Robotics; Motion estimation; Video compression
Research GroupArtificial Intelligence group
PublisherElsevier
JournalComputers & Electrical Engineering
ISSN0045-7906
Publication dates
Online05 Apr 2018
Print01 May 2018
Publication process dates
Deposited03 Apr 2018
Submitted12 May 2017
Accepted26 Mar 2018
Output statusPublished
Accepted author manuscript
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Digital Object Identifier (DOI)https://doi.org/10.1016/j.compeleceng.2018.03.045
Scopus EID2-s2.0-85056222580
Web of Science identifierWOS:000437999300007
LanguageEnglish
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Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution
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