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Prediction-Tracking-Segmentation [article]

Jianren Wang, Yihui He, Xiaobo Wang, Xinjia Yu, Xia Chen
2019 arXiv   pre-print
We introduce a prediction driven method for visual tracking and segmentation in videos.  ...  Instead of solely relying on matching with appearance cues for tracking, we build a predictive model which guides finding more accurate tracking regions efficiently.  ...  With prediction driven tracking and segmentation, we name our method Prediction-Tracking-Segmentation (PTS). Our approach offers several unique advantages.  ... 
arXiv:1904.03280v1 fatcat:2t4s42ciefamtnfamhgj5wqn4y

Cell Segmentation and Tracking using CNN-Based Distance Predictions and a Graph-Based Matching Strategy [article]

Tim Scherr, Katharina Löffler, Moritz Böhland, Ralf Mikut
2020 arXiv   pre-print
The adapted tracking algorithm includes a movement estimation in the cost function to re-link tracks with missing segmentation masks over a short sequence of frames.  ...  For the prediction of the proposed neighbor distances, an adapted U-Net convolutional neural network (CNN) with two decoder paths is used.  ...  Acknowledgments The authors would like to thank Andreas Bartschat for proofreading, the organizers of the Cell Tracking Challenge, and all data set providers.  ... 
arXiv:2004.01486v4 fatcat:xu34evh77behdmc27tu26rmwvi

Track Segment Association Method Based on Bidirectional Track Prediction and Fuzzy Analysis

Yupeng Cao, Jiangwei Cao, Zhiguo Zhou
2022 Aerospace (Basel)  
This algorithm bidirectionally predicts and extrapolates track segments by the Holt-Winters method, and then uses the fuzzy track segment association algorithm to perform segment association and secondary  ...  In order to make the track segment association effect better, we studied several existing time series prediction methods, and proposed a track segment association method based on bidirectional Holt-Winters  ...  The algorithm consists of the following parts: establishing the Holt-Winters prediction model, prediction track data, and associating track segments.  ... 
doi:10.3390/aerospace9050274 fatcat:b3wcrehjsnf2fc4xus4wazddsa

Label prediction and local segmentation for accurate video object tracking

Guillaume Foret, Pascal Bertolino, Touradj Ebrahimi, Thomas Sikora
2003 Visual Communications and Image Processing 2003  
local block−matching prediction µ ÓÖ Ñ Ò × ÕÙ Ò µ À ÐÐ ÅÓÒ ØÓÖ × ÕÙ Ò frame number mean square error calculated on edges regular block−matching prediction local block−matching prediction µ ÅÓØ Ö² Ù Ø  ...  local block−matching prediction 0 10 20 30 40 50 60 70 80 0 10 20 30 40 50 60 70 80 90 100 110 0 10 20 30 40 50 60 70 80 0 10 20 30 40 50 60  ... 
doi:10.1117/12.502590 fatcat:wjgtk4ugajgmngcjrbiqwqvlw4

Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy

Tim Scherr, Katharina Löffler, Moritz Böhland, Ralf Mikut, Konradin Metze
2020 PLoS ONE  
The adapted tracking algorithm includes a movement estimation in the cost function to re-link tracks with missing segmentation masks over a short sequence of frames.  ...  For the prediction of the proposed neighbor distances, an adapted U-Net convolutional neural network (CNN) with two decoder paths is used.  ...  Acknowledgments The authors would like to thank Andreas Bartschat for proofreading, the organizers of the Cell Tracking Challenge, and all data set providers.  ... 
doi:10.1371/journal.pone.0243219 pmid:33290432 fatcat:sevvza242bdkhm76oaiucyface

Segmental Tissue Speckle Tracking Predicts the Stenosis Severity in Patients With Coronary Artery Disease

Srisakul Chaichuum, Shuo-Ju Chiang, Masao Daimon, Su-Chen Chang, Chih-Lin Chan, Chu-Ying Hsu, Hsiang-Ho Chen, Ching-Li Tseng
2022 Frontiers in Cardiovascular Medicine  
ObjectiveTwo-dimensional speckle tracking echocardiography (2D-STE) has been used as a diagnostic tool for coronary artery disease (CAD).  ...  The average longitudinal strain and SR of the segmental myocardium supplied by each coronary artery were calculated to achieve vessel myocardium strain (VMS) and strain rate (VMSR).  ...  Our study elucidated the segmental tissue speckle tracking could predict stenosis severity of specific coronary arteries in patients with CAD, which provide clinical impression for early intervention and  ... 
doi:10.3389/fcvm.2021.832096 pmid:35187117 pmcid:PMC8850403 fatcat:2homnpwcwnebpdfg3m4lrepevq

Role of 2D speckle tracking echocardiography in predicting acute coronary occlusion in patients with non ST-segment elevation myocardial infarction

Viola William Keddeas, Salwa Mohammed Swelim, Ghada Kamel Selim
2017 Egyptian Heart Journal  
Role of 2D speckle tracking echocardiography in predicting acute coronary occlusion in patients with non STsegment elevation myocardial infarction, The Egypt Heart J (2016), http://dx.  ...  Aim: The study aims at investigating role of 2D speckle tracking echocardiography as a noninvasive predictor of acute coronary artery occlusion in patients with non ST-segment elevation myocardial infarction  ...  ST-segment elevation predicts acute coronary occlusion with high specificity.  ... 
doi:10.1016/j.ehj.2016.10.005 pmid:29622963 pmcid:PMC5839360 fatcat:jm5ldjzmunb4dm56xbommyquji

FINAL RESULT PREDICTION IN FEMALE 400M TRACK EVENT BASED ON RESULTS ACHIEVED AT CERTAIN RACE SEGMENTS

Danijela GRGIC, Universitiy of Zagreb, Dragan Milanović, Iva Blažević, Universitiy of Zagreb, University of Pula
2019 Bulletin of the Transilvania University of Braşov: Series IX Sciences of Human Kinetics  
Observation of partial coefficients and split times at every 100m showed the best correlation to final result was split running time from 300 th to 400 th m, as well as running time of both 200m segments  ...  still requires from runners highly developed abilities such as speed, speed endurance, strength, technique and tactics, mental stability and motivation to fight one self and other competitors in final segments  ...  When it comes to individual variables related to every 100m segments of the race, the variable found to best predict the final result was the one relating to last 100m segment of 400m race (b*=0.64).  ... 
doi:10.31926/but.shk.2019.12.61.5 fatcat:pgqg344scnczzg6uxs43pzbezm

Usefulness of serial post-systolic shortening by speckle tracking echocardiography to predict major adverse cardiovascular events and segmental function improvement after acute myocardial infarction

Ju-Feng Hsiao, Kuo-Li Pan, Chi-Ming Chu, Shih-Tai Chang, Chang-Min Chung, Jen-Te Hsu, John Lynn Jefferies
2020 PLoS ONE  
Purpose The aim is to determine whether serial post-systolic shortening (PSS) using speckle tracking echocardiography (STE) could predict major adverse cardiovascular events (MACE), especially symptom-driven  ...  Segmental function improvements were found in 255 segments (66.1%) and ROC curve analyses showed that AUC (95% CI) of the initial PSS was 0.7(0.65–0.77) (cut-off values = -1.08, sensitivity = 58%, specificity  ...  We also evaluated its capacity to predict improvement in segmental myocardial function.  ... 
doi:10.1371/journal.pone.0244589 pmid:33382775 fatcat:zfa2juxsxzhsfhgyix5kctdrri

Clinical Implication (Application) of Measurement of LV Function by Three-Dimensional Speckle-Tracking Echocardiography: Three-Dimensional Myocardial Strain for the Prediction of Clinical Events in Patients With ST-Segment Elevation Myocardial Infarction

Eun Jeong Cho
2022 Journal of Cardiovascular Imaging  
., atrial fibrillation). 2) So recently, speckle-tracking echocardiography (STE) is a novel imaging modality that allows quantitative assessment of global and segmental LV myocardial function by measuring  ...  the patient's actual infarct size can be accurately assessed while maintaining appropriate temporal resolution. 5) Moreover, myocardial strain is not only useful in evaluating myocardial viability and predicting  ...  negative strain value in the same segment. ¶ All segmental strain curves are "forced" by the software to return to baseline at end-diastole.  ... 
doi:10.4250/jcvi.2022.0059 pmid:35879255 pmcid:PMC9314224 fatcat:n6sdb6dbbnhppgssswpjgjx3ty

EmbedTrack – Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths [article]

Katharina Löffler, Ralf Mikut
2022 arXiv   pre-print
Here, we present EmbedTrack, a single convolutional neural network for simultaneous cell segmentation and tracking which predicts easy to interpret embeddings.  ...  A systematic analysis of the cell behavior requires automated approaches for cell segmentation and tracking.  ...  For each time point, t and t − 1, the network predicts a set of segmentation predictions, whereas for tracking one tracking offset prediction from t to t − 1 is predicted.  ... 
arXiv:2204.10713v2 fatcat:ghwlgmer75cktnnrwk35iom4sq

Ways to Improve Multitasking: Effects of Predictability after Single- and Dual-Task Training

Harald Ewolds, Laura Broeker, Rita F. de Oliveira, Markus Raab, Stefan Künzell
2021 Journal of Cognition  
Both tasks had a repeating element that made them predictable; in the tracking task this was a repeating segment, and in the auditory task this was an auditory sequence.  ...  Results showed that predictability only improved performance in the predictable tasks themselves and dual-task costs disappeared for the tracking task.  ...  A predictable tracking task contained a repeating middle segment (i.e. rand-rep-rand), an unpredictable tracking tasks contained three random segments (i.e. rand-randrand).  ... 
doi:10.5334/joc.142 pmid:33506170 pmcid:PMC7792460 fatcat:2iwzgedk3rc2ffa56o3uzba6ue

Time dependence of traffic emissions in the urban area of Thessaloniki

Konstantin Pattas, Nikolas Kyriakis, Christos Nakos
1993 Science of the Total Environment  
At the current study it is investigated the effectiveness of a combination of a map-matching process and a prediction method aiming at one traffic prediction system.  ...  A traffic prediction system could ensure better quality transportation particularly with regard to travelled time which is needed avoiding a further degradation.  ...  Tracking for 4 road segments and 40 vehicles Prediction and Tracking for 4 road segments and 40 vehicles Prediction and Tracking for 4 road segments and 40 vehicles Prediction and Tracking for 4 road  ... 
doi:10.1016/0048-9697(93)90357-c fatcat:lnugiwqeunfvvfdsgiicm2h5zi

Conditional Random Field Tracking Model Based on a Visual Long Short Term Memory Network

Pei-Xin Liu, Zhao-Sheng Zhu, Xiao-Feng Ye, Xiao-Feng Li
2020 Journal of Electronic Science and Technology  
the accuracy of the predictions as well as the tracking performance.  ...  Two views are used for data fusion to construct 3D tracking trajectory segments.  ... 
doi:10.1016/j.jnlest.2020.100031 fatcat:vo5zqngwzfbz3lb4fqjpoxwkke

Novel deep learning methods for track reconstruction [article]

Steven Farrell, Paolo Calafiura, Mayur Mudigonda, Prabhat, Dustin Anderson, Jean-Roch Vlimant, Stephan Zheng, Josh Bendavid, Maria Spiropulu, Giuseppe Cerati, Lindsey Gray, Jim Kowalkowski, Panagiotis Spentzouris, Aristeidis Tsaris
2018 arXiv   pre-print
The second set of models use Graph Neural Networks (GNNs) for the tasks of hit classification and segment classification.  ...  For the past year, the HEP.TrkX project has been investigating machine learning solutions to LHC particle track reconstruction problems.  ...  Figure 12 . 12 Output predictions and ROC curve for the GNN segment classification model.  ... 
arXiv:1810.06111v1 fatcat:7manc44gerh25kcufkbgwpavc4
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