Articles with "data association" as a keyword



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Structural Constraint Data Association for Online Multi-object Tracking

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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.… read more here.

Keywords: motion; data association; object tracking; camera ... See more keywords
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Detecting and Tracking Sinkholes Using Multi-Level Convolutional Neural Networks and Data Association

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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… read more here.

Keywords: sinkhole detection; convolutional neural; data association; detecting tracking ... See more keywords
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Navigation in GPS Spoofed Environment Using M-Best Positioning Algorithm and Data Association

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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… read more here.

Keywords: algorithm; navigation; positioning algorithm; gps ... See more keywords
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Multiobject Tracking and Segmentation With Embedding Mask-Based Affinity Fusion in Hierarchical Data Association

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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… read more here.

Keywords: fusion; affinity; tracking segmentation; segmentation ... See more keywords
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Distributed Target Tracking in Wireless Sensor Networks With Data Association Uncertainty

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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.… read more here.

Keywords: data association; association uncertainty; association; distributed target ... See more keywords
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Improved Data Association Using Buffered Pose Adjustment for Map-Aided Localization

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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… read more here.

Keywords: data association; adjustment; improved data; map ... See more keywords
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Multi-Target Tracking on Riemannian Manifolds via Probabilistic Data Association

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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… read more here.

Keywords: geometry; probabilistic data; data association; multi target ... See more keywords
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Efficient Global MOT Under Minimum-Cost Circulation Framework

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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… read more here.

Keywords: circulation framework; cost circulation; data association; framework ... See more keywords
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Multiple vehicle tracking in aerial video sequence using driver behavior analysis and improved deterministic data association

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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… read more here.

Keywords: aerial video; data association; vehicle; driver behavior ... See more keywords
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Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador

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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… read more here.

Keywords: methodology; data association; association; association methodology ... See more keywords
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Deep Learning-Based Medical Data Association Rules to Explore the Connectivity and Regulation Mechanism of miRNA-mRNA Network in Myocarditis

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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… read more here.

Keywords: myocarditis; network; data association; regulation ... See more keywords