Performance evaluation on mitral valve motion feature tracking using kanade-lucas-Tomasi (KLT) algorithm based eigenvalue measurement

This paper provides the explanation of the concepts of point tracking technique to be implemented in mitral valve locating in video frames. Object tracking has been used for many applications in motion-based recognition and monitoring. This paper discussed about the implementation of Kanade-Lucas-To...

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Main Authors: Mahadi, Lina Farhana, Ibrahim, Nabilah, Zaluwi, Mohd Thariq, S.M Johan, Muhammad Haniff
Format: Article
Language:English
Published: American Institute of Physics 2019
Subjects:
Online Access:http://eprints.uthm.edu.my/5255/1/AJ%202020%20%28122%29.pdf
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author Mahadi, Lina Farhana
Ibrahim, Nabilah
Zaluwi, Mohd Thariq
S.M Johan, Muhammad Haniff
author_facet Mahadi, Lina Farhana
Ibrahim, Nabilah
Zaluwi, Mohd Thariq
S.M Johan, Muhammad Haniff
author_sort Mahadi, Lina Farhana
collection UTHM
description This paper provides the explanation of the concepts of point tracking technique to be implemented in mitral valve locating in video frames. Object tracking has been used for many applications in motion-based recognition and monitoring. This paper discussed about the implementation of Kanade-Lucas-Tomasi (KLT) algorithm for automatic detection of the mitral valve in video frames. An experiment is carried out which covers the patient scanning who suffers from mitral valve disease. The performance of the method is validated by comparing the value of point track per frames. It is found that the point tracker systems can track the mitral valve up to 0.3s.
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spelling uthm.eprints-52552022-01-06T08:08:45Z http://eprints.uthm.edu.my/5255/ Performance evaluation on mitral valve motion feature tracking using kanade-lucas-Tomasi (KLT) algorithm based eigenvalue measurement Mahadi, Lina Farhana Ibrahim, Nabilah Zaluwi, Mohd Thariq S.M Johan, Muhammad Haniff T Technology (General) This paper provides the explanation of the concepts of point tracking technique to be implemented in mitral valve locating in video frames. Object tracking has been used for many applications in motion-based recognition and monitoring. This paper discussed about the implementation of Kanade-Lucas-Tomasi (KLT) algorithm for automatic detection of the mitral valve in video frames. An experiment is carried out which covers the patient scanning who suffers from mitral valve disease. The performance of the method is validated by comparing the value of point track per frames. It is found that the point tracker systems can track the mitral valve up to 0.3s. American Institute of Physics 2019 Article PeerReviewed text en http://eprints.uthm.edu.my/5255/1/AJ%202020%20%28122%29.pdf Mahadi, Lina Farhana and Ibrahim, Nabilah and Zaluwi, Mohd Thariq and S.M Johan, Muhammad Haniff (2019) Performance evaluation on mitral valve motion feature tracking using kanade-lucas-Tomasi (KLT) algorithm based eigenvalue measurement. AIP Conference Proceedings, 2173 (1). 020002-1. ISSN 0094-243X https://doi.org/10.1063/1.5133917
spellingShingle T Technology (General)
Mahadi, Lina Farhana
Ibrahim, Nabilah
Zaluwi, Mohd Thariq
S.M Johan, Muhammad Haniff
Performance evaluation on mitral valve motion feature tracking using kanade-lucas-Tomasi (KLT) algorithm based eigenvalue measurement
title Performance evaluation on mitral valve motion feature tracking using kanade-lucas-Tomasi (KLT) algorithm based eigenvalue measurement
title_full Performance evaluation on mitral valve motion feature tracking using kanade-lucas-Tomasi (KLT) algorithm based eigenvalue measurement
title_fullStr Performance evaluation on mitral valve motion feature tracking using kanade-lucas-Tomasi (KLT) algorithm based eigenvalue measurement
title_full_unstemmed Performance evaluation on mitral valve motion feature tracking using kanade-lucas-Tomasi (KLT) algorithm based eigenvalue measurement
title_short Performance evaluation on mitral valve motion feature tracking using kanade-lucas-Tomasi (KLT) algorithm based eigenvalue measurement
title_sort performance evaluation on mitral valve motion feature tracking using kanade lucas tomasi klt algorithm based eigenvalue measurement
topic T Technology (General)
url http://eprints.uthm.edu.my/5255/1/AJ%202020%20%28122%29.pdf
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