Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rene Repp"'
Publikováno v:
IEEE Access, Vol 8, Pp 222506-222519 (2020)
Analyzing the motion of the common carotid artery (CCA) wall yields effective indicators for atherosclerosis. In this work, we propose a state-space model and a tracking method for estimating the time-varying CCA wall radius from a B-mode ultrasound
Externí odkaz:
https://doaj.org/article/372d7d22d9fe4e9289f5fd475b9194ba
Publikováno v:
ICASSP
An analysis of the motion of the common carotid artery (CCA) provides effective indicators for cardiovascular diseases. Here, we propose a method for tracking CCA wall motion from a B-mode ultrasound video sequence. An unscented Kalman filter based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f1d0c69c3c6d634220b384450931c85
https://doi.org/10.1109/icassp40776.2020.9054703
https://doi.org/10.1109/icassp40776.2020.9054703
Publikováno v:
EUSIPCO
Analyzing the motion of the wall of the common carotid artery (CCA) yields effective indicators for atherosclerosis. In this work, we explore the use of multitarget tracking techniques for estimating the time-varying CCA radius from an ultrasound vid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dc41b8bea533d66c7b2d2b60d1081c6
https://doi.org/10.23919/eusipco.2019.8902772
https://doi.org/10.23919/eusipco.2019.8902772
Publikováno v:
FUSION
The Bernoulli filter (BF) is a Bayes-optimal method for target tracking when the target can be present or absent in unknown time intervals and the measurements are affected by clutter and missed detections. We propose a distributed particle-based mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00199aa85262817872dfa9a03d8b0dd8
https://doi.org/10.23919/icif.2018.8455302
https://doi.org/10.23919/icif.2018.8455302
Target Tracking Using a Distributed Particle-Pda Filter With Sparsity-Promoting Likelihood Consensus
Publikováno v:
SSP
We propose a distributed particle-based probabilistic data association filter (PDAF) for target tracking in the presence of clutter and missed detections. The proposed PDAF employs a new “sparsity-promoting” likelihood consensus that uses the ort
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::448597d1d9a7bba086f18c4cc283d1bf
https://doi.org/10.1109/ssp.2018.8450815
https://doi.org/10.1109/ssp.2018.8450815