Evaluating a robust contour tracker on echocardiographic sequences.
In this paper we present an evaluation of a robust visual image tracker on echocardiographic image sequences. We show how the tracking framework can be customized to define an appropriate shape space that describes heart shape deformations that can be learnt from a training data set. We also investi...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
1999
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| _version_ | 1826306500399726592 |
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| author | Jacob, G Noble, J Mulet-Parada, M Blake, A |
| author_facet | Jacob, G Noble, J Mulet-Parada, M Blake, A |
| author_sort | Jacob, G |
| collection | OXFORD |
| description | In this paper we present an evaluation of a robust visual image tracker on echocardiographic image sequences. We show how the tracking framework can be customized to define an appropriate shape space that describes heart shape deformations that can be learnt from a training data set. We also investigate energy-based temporal boundary enhancement methods to improve image feature measurement. Results are presented demonstrating real-time tracking on real normal heart motion data sequences and abnormal synthesized and real heart motion data sequences. We conclude by discussing some of our current research efforts. |
| first_indexed | 2024-03-07T06:48:53Z |
| format | Journal article |
| id | oxford-uuid:fbd09cbc-578a-48b4-8543-f64feb24654e |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:48:53Z |
| publishDate | 1999 |
| record_format | dspace |
| spelling | oxford-uuid:fbd09cbc-578a-48b4-8543-f64feb24654e2022-03-27T13:16:32ZEvaluating a robust contour tracker on echocardiographic sequences.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:fbd09cbc-578a-48b4-8543-f64feb24654eEnglishSymplectic Elements at Oxford1999Jacob, GNoble, JMulet-Parada, MBlake, AIn this paper we present an evaluation of a robust visual image tracker on echocardiographic image sequences. We show how the tracking framework can be customized to define an appropriate shape space that describes heart shape deformations that can be learnt from a training data set. We also investigate energy-based temporal boundary enhancement methods to improve image feature measurement. Results are presented demonstrating real-time tracking on real normal heart motion data sequences and abnormal synthesized and real heart motion data sequences. We conclude by discussing some of our current research efforts. |
| spellingShingle | Jacob, G Noble, J Mulet-Parada, M Blake, A Evaluating a robust contour tracker on echocardiographic sequences. |
| title | Evaluating a robust contour tracker on echocardiographic sequences. |
| title_full | Evaluating a robust contour tracker on echocardiographic sequences. |
| title_fullStr | Evaluating a robust contour tracker on echocardiographic sequences. |
| title_full_unstemmed | Evaluating a robust contour tracker on echocardiographic sequences. |
| title_short | Evaluating a robust contour tracker on echocardiographic sequences. |
| title_sort | evaluating a robust contour tracker on echocardiographic sequences |
| work_keys_str_mv | AT jacobg evaluatingarobustcontourtrackeronechocardiographicsequences AT noblej evaluatingarobustcontourtrackeronechocardiographicsequences AT muletparadam evaluatingarobustcontourtrackeronechocardiographicsequences AT blakea evaluatingarobustcontourtrackeronechocardiographicsequences |