Structural Constraint Data Association for Online Multi-object Tracking
Sign Up to like & getrecommendations! 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
Detecting and Tracking Sinkholes Using Multi-Level Convolutional Neural Networks and Data Association
Sign Up to like & getrecommendations! 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
Navigation in GPS Spoofed Environment Using M-Best Positioning Algorithm and Data Association
Sign Up to like & getrecommendations! 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
Multiobject Tracking and Segmentation With Embedding Mask-Based Affinity Fusion in Hierarchical Data Association
Sign Up to like & getrecommendations! 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
Distributed Target Tracking in Wireless Sensor Networks With Data Association Uncertainty
Sign Up to like & getrecommendations! 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
Improved Data Association Using Buffered Pose Adjustment for Map-Aided Localization
Sign Up to like & getrecommendations! 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
PKF: Probabilistic Data Association Kalman Filter for Multi-Object Tracking
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3608646
Abstract: In this letter, we derive a new Kalman filter (KF) with probabilistic data association between measurements and states. We formulate a variational inference problem to approximate the posterior density of the state conditioned on the… read more here.
Keywords: association; data association; probabilistic data; kalman filter ... See more keywords
Multi-Target Tracking on Riemannian Manifolds via Probabilistic Data Association
Sign Up to like & getrecommendations! 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
Robust Data Association Against Detection Deficiency for Semantic SLAM
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2022.3233662
Abstract: Robust and accurate object association is essential for precise 3D object landmark inference in semantic Simultaneous Localization and Mapping (SLAM), and yet remains challenging due to the detection deficiency caused by high miss detection rate,… read more here.
Keywords: detection; object association; detection deficiency; data association ... See more keywords
DfTrack: Deconfused Data Association Framework for Multi-Object Tracking
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3571763
Abstract: Accurate data association plays a crucial role in Multi-Object Tracking (MOT) as it helps reduce confusion such as identity switches and assignment errors. However, many existing advanced methods often overlook the diversity among trajectories and… read more here.
Keywords: data association; object tracking; multi object; association ... See more keywords
Efficient Global MOT Under Minimum-Cost Circulation Framework
Sign Up to like & getrecommendations! 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