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

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

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: NIL
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electronic Enngineering
Depositing User: Miss Afiqah Faiqah Mohd Hafiz
Date Deposited: 06 Jan 2022 08:08
Last Modified: 06 Jan 2022 08:08
URI: http://eprints.uthm.edu.my/id/eprint/5255

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