Extended object tracking: Introduction, overview and applications
This article provides an elaborate overview of current research in extended object tracking.
We provide a clear definition of the extended object tracking problem and discuss its …
We provide a clear definition of the extended object tracking problem and discuss its …
Group Target Tracking for Highly Maneuverable Unmanned Aerial Vehicles Swarms: A Perspective
Y Chen, Y Jiao, M Wu, H Ma, Z Lu - Sensors, 2023 - mdpi.com
Group target tracking (GTT) is a promising approach for countering unmanned aerial
vehicles (UAVs). However, the complex distribution and high mobility of UAV swarms may …
vehicles (UAVs). However, the complex distribution and high mobility of UAV swarms may …
Iterative joint integrated probabilistic data association filter for multiple-detection multiple-target tracking
Y Xie, Y Huang, TL Song - Digital Signal Processing, 2018 - Elsevier
Most classical target tracking algorithms assume that one target generates one
measurement per scan. However, for situations where the target's physical size exceeds one …
measurement per scan. However, for situations where the target's physical size exceeds one …
An improved partitioning algorithm based on FCM algorithm for extended target tracking in PHD filter
B Yan, N Xu, LP Xu, MQ Li, P Cheng - Digital Signal Processing, 2019 - Elsevier
Extended target Gaussian mixture probability hypothesis density (ET-GM-PHD) filter is a
promising approach for multi-extended target tracking problem. Correct partitions of …
promising approach for multi-extended target tracking problem. Correct partitions of …
Maritime ISAR Detection and Tracking algorithm for Multiple Maneuvering Extended Vessels in Heavy-tailed Clutter using SK-MM-Sub-RMM-MB-TBD Filter
M Barbary, MH Abd ElAzeem - Journal of the Franklin Institute, 2024 - Elsevier
Multiple extended objects tracking (EOT) tasks play an important role in computer vision and
engineering applications of artificial intelligence. In particular, nonlinear marine object …
engineering applications of artificial intelligence. In particular, nonlinear marine object …
2-D inverse synthetic aperture Ladar imaging and tracking of maneuvering extended Micro-Doppler UAVs in atmospheric turbulence with skewness
M Barbary, MH Abd ElAzeem - Mechanical Systems and Signal Processing, 2024 - Elsevier
The inverse synthetic aperture Ladar (ISAL) is an important system for observation of space
objects. Here, a 2-D ISAL imaging and tracking algorithm is proposed for low observable …
objects. Here, a 2-D ISAL imaging and tracking algorithm is proposed for low observable …
Network flow labeling for extended target tracking PHD filters
The probability hypothesis density (PHD) filter is a method for tracking multiple target objects
based on unlabeled detections. However, as the PHD filter employs a first-order …
based on unlabeled detections. However, as the PHD filter employs a first-order …
Time-space domain assignment for generalized covariance intersection fusion with labeled multitarget densities
Y Jin, J Li - Digital Signal Processing, 2023 - Elsevier
This paper addresses the generalized covariance intersection (GCI) fusion for labeled
random finite sets, avoiding the label inconsistency sensitivity problem and the information …
random finite sets, avoiding the label inconsistency sensitivity problem and the information …
Robust and Flexible Maritime ISAR Tracking Algorithm for Multiple Maneuvering Extended Vessels in Heavy-Tailed Clutter Using Skewed Multiple Model MB-Sub …
M Barbary, MH Abd ElAzeem - IEEE Journal of Oceanic …, 2024 - ieeexplore.ieee.org
This article presents the application of a track before detect (TBD) technique for multiple
extended object tracking (EOT) in a heavy-tailed cluttered environment using a high …
extended object tracking (EOT) in a heavy-tailed cluttered environment using a high …