基于特征值测量的kade - lucas - tomasi算法二尖瓣运动特征跟踪性能评价

Q4 Engineering

Journal of Electrical and Electronics Engineering Pub Date : 2019-11-11 DOI:10.1063/1.5133917

Lina Farhana Mahadi, Nabilah Ibrahim, Mohd Thariq Zaluwi, Muhammad Haniff S. M. Johan

{"title":"基于特征值测量的kade - lucas - tomasi算法二尖瓣运动特征跟踪性能评价","authors":"Lina Farhana Mahadi, Nabilah Ibrahim, Mohd Thariq Zaluwi, Muhammad Haniff S. M. Johan","doi":"10.1063/1.5133917","DOIUrl":null,"url":null,"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.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.","PeriodicalId":39047,"journal":{"name":"Journal of Electrical and Electronics Engineering","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Performance evaluation on mitral valve motion feature tracking using Kanade-Lucas-Tomasi (KLT) algorithm based eigenvalue measurement\",\"authors\":\"Lina Farhana Mahadi, Nabilah Ibrahim, Mohd Thariq Zaluwi, Muhammad Haniff S. M. Johan\",\"doi\":\"10.1063/1.5133917\",\"DOIUrl\":null,\"url\":null,\"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.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.\",\"PeriodicalId\":39047,\"journal\":{\"name\":\"Journal of Electrical and Electronics Engineering\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Electrical and Electronics Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1063/1.5133917\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electrical and Electronics Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1063/1.5133917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}

引用次数: 2

摘要

本文阐述了点跟踪技术在视频帧中二尖瓣定位中的概念。目标跟踪在基于运动的识别和监测中有着广泛的应用。本文讨论了Kanade-Lucas-Tomasi (KLT)算法在视频帧中自动检测二尖瓣的实现。对患有二尖瓣疾病的患者进行了扫描实验。通过对每帧点轨迹值的比较，验证了该方法的有效性。结果表明，点跟踪系统对二尖瓣的跟踪时间可达0.3s。本文阐述了点跟踪技术在视频帧中二尖瓣定位中的概念。目标跟踪在基于运动的识别和监测中有着广泛的应用。本文讨论了Kanade-Lucas-Tomasi (KLT)算法在视频帧中自动检测二尖瓣的实现。对患有二尖瓣疾病的患者进行了扫描实验。通过对每帧点轨迹值的比较，验证了该方法的有效性。结果表明，点跟踪系统对二尖瓣的跟踪时间可达0.3s。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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-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.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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of Electrical and Electronics Engineering Engineering-Electrical and Electronic Engineering

CiteScore

0.90

自引率

0.00%

发文量

审稿时长

16 weeks

期刊介绍： Journal of Electrical and Electronics Engineering is a scientific interdisciplinary, application-oriented publication that offer to the researchers and to the PhD students the possibility to disseminate their novel and original scientific and research contributions in the field of electrical and electronics engineering. The articles are reviewed by professionals and the selection of the papers is based only on the quality of their content and following the next criteria: the papers presents the research results of the authors, the papers / the content of the papers have not been submitted or published elsewhere, the paper must be written in English, as well as the fact that the papers should include in the reference list papers already published in recent years in the Journal of Electrical and Electronics Engineering that present similar research results. The topics and instructions for authors of this journal can be found to the appropiate sections.