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Published in 2018 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-018-1087-1
Abstract: Online two-dimensional (2D) multi-object tracking (MOT) is a challenging task when the objects of interest have similar appearances. In that case, the motion of objects is another helpful cue for tracking and discriminating multiple objects.…
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Keywords:
motion;
data association;
object tracking;
camera ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3010885
Abstract: Sinkholes can cause severe property damage and threaten public safety. Therefore, the early prediction and detection of sinkholes are important measures for protecting both citizenry and infrastructure. Although many studies have made significant progress on…
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Keywords:
sinkhole detection;
convolutional neural;
data association;
detecting tracking ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3064383
Abstract: Intentionally misguiding a global positioning system (GPS) receiver has become a potential threat to almost all civilian GPS receivers in recent years. GPS spoofing is among the types of intentional interference, in which a spoofing…
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Keywords:
algorithm;
navigation;
positioning algorithm;
gps ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3171565
Abstract: In this paper, we propose a highly feasible fully online multi-object tracking and segmentation (MOTS) method that uses instance segmentation results as an input. The proposed method is based on the Gaussian mixture probability hypothesis…
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Keywords:
fusion;
affinity;
tracking segmentation;
segmentation ... See more keywords
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Published in 2017 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2017.2673824
Abstract: This letter considers distributed target tracking in the presence of data association uncertainty. Some known algorithm has been developed where the minimum mean square error approach is utilized to deal with the data association process.…
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Keywords:
data association;
association uncertainty;
association;
distributed target ... See more keywords
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Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.3013856
Abstract: Maps provide an important source of information for autonomous vehicles. They can be used along with cameras and lidars to localize the vehicle. This requires the ability to correctly associate observations to features referenced in…
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Keywords:
data association;
adjustment;
improved data;
map ... See more keywords
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Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3099980
Abstract: Riemannian manifolds are attracting much interest in various technical disciplines, since generated data can often be naturally represented as points on a Riemannian manifold. Due to the non-Euclidean geometry of such manifolds, usual Euclidean methods…
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Keywords:
geometry;
probabilistic data;
data association;
multi target ... See more keywords
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Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2020.3026257
Abstract: We developed a minimum-cost circulation framework for solving the global data association problem, which plays a key role in the tracking-by-detection paradigm of multi-object tracking (MOT). The global data association problem was extensively studied under…
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Keywords:
circulation framework;
cost circulation;
data association;
framework ... See more keywords
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Published in 2018 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.12.016014
Abstract: Abstract. Along with the rapid development of the unmanned aerial vehicle technology, multiple vehicle tracking (MVT) in aerial video sequence has received widespread interest for providing the required traffic information. Due to the camera motion…
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Keywords:
aerial video;
data association;
vehicle;
driver behavior ... See more keywords
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Published in 2018 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2018/6587049
Abstract: This work proposes a methodology that reduces the error of future estimations in commercialization based on multivariate spatial prediction techniques (cokriging) considering the products with strong associations. It is based on the Apriori algorithm to…
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Keywords:
methodology;
data association;
association;
association methodology ... See more keywords
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Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/9272709
Abstract: Acute, chronic myocarditis as myocardial localized or diffuse inflammation lesions is usually involving cardiac function in patients with severe adverse outcomes such as heart failure, sudden death, and no unified, but its pathogenesis clinical is…
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Keywords:
myocarditis;
network;
data association;
regulation ... See more keywords