Feature-based Video Stabilization using Gabor Wavelets

Authors

  • Wan Nural Jawahir Hj Wan Yussof School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.
  • Muhammad Suzuri Hitam School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.
  • Abdul Aziz K. Abdul Hamid School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.
  • Ezmahamrul Afreen Awalludin School of Fisheries and Aquaculture Sciences, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.

Keywords:

Gabor Wavelets, Local Image Features, Relational Features, Video Stabilization,

Abstract

This study proposes a method to stabilize jittery video using a feature-based technique. Our feature-based technique extracts local image features using Gabor wavelets. Firstly, to locate a set of interest points within a video frame, we detect some local maxima on Gabor response map image. Then, using the same Gabor response map image, we compute relational features around these interest points. The method was tested using shaky car video obtained from MATLAB version 2011b and compared with the SIFT and SURF methods. The output of using the proposed local image features is comparable to the output produced by SIFT and SURF methods and has shown good result concerning stabilization and discarded distortion from the output video.

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Published

2017-10-20

How to Cite

Hj Wan Yussof, W. N. J., Hitam, M. S., Abdul Hamid, A. A. K., & Awalludin, E. A. (2017). Feature-based Video Stabilization using Gabor Wavelets. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-4), 75–79. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2921

Issue

Vol. 9 No. 3-4: Special Issue on Software Engineering II

Section

Articles

License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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