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-...

Full description

Bibliographic Details
Main Authors: Mahadi, Lina Farhana, Ibrahim, Nabilah, Zaluwi, Mohd Thariq, S.M Johan, Muhammad Haniff
Format: Article
Language:English
Published: AIP 2019
Subjects:
Online Access:http://eprints.uthm.edu.my/632/
http://eprints.uthm.edu.my/632/1/DNJ9615_14c2529c9662ccbf3967b3daa332e9b6.pdf
_version_ 1848887249554374656
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
building UTHM Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T19:51:23Z
format Article
id uthm-632
institution Universiti Tun Hussein Onn Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T19:51:23Z
publishDate 2019
publisher AIP
recordtype eprints
repository_type Digital Repository
spelling uthm-6322021-08-11T05:12:37Z http://eprints.uthm.edu.my/632/ 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 TJ751-805 Miscellaneous motors and engines Including gas, gasoline, diesel engines 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. AIP 2019 Article PeerReviewed text en http://eprints.uthm.edu.my/632/1/DNJ9615_14c2529c9662ccbf3967b3daa332e9b6.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. Advances in Electrical and Electronic Engineering: From Theory to Applications (Series 2), 2. pp. 1-10. https://doi.org/10.1063/1.5133917
spellingShingle TJ751-805 Miscellaneous motors and engines Including gas, gasoline, diesel engines
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 TJ751-805 Miscellaneous motors and engines Including gas, gasoline, diesel engines
url http://eprints.uthm.edu.my/632/
http://eprints.uthm.edu.my/632/
http://eprints.uthm.edu.my/632/1/DNJ9615_14c2529c9662ccbf3967b3daa332e9b6.pdf