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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| Format: | Article |
| Language: | en |
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American Institute of Physics
2019
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| Online Access: | http://eprints.uthm.edu.my/5255/1/AJ%202020%20%28122%29.pdf http://eprints.uthm.edu.my/5255/ https://doi.org/10.1063/1.5133917 |
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| _version_ | 1833417809138286592 |
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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 |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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. |
| format | Article |
| id | my.uthm.eprints-5255 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2019 |
| publisher | American Institute of Physics |
| record_format | eprints |
| spelling | my.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 http://eprints.uthm.edu.my/5255/ https://doi.org/10.1063/1.5133917 |
| url_provider | http://eprints.uthm.edu.my/ |