Articles with "multitarget tracking" as a keyword



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Adaptive genetic MM-CPHD filter for multitarget tracking

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Published in 2017 at "Soft Computing"

DOI: 10.1007/s00500-016-2087-0

Abstract: Multitarget tracking is an important topic in visual surveillance system. Considering imperfections of the cardinalized probability hypothesis density (CPHD) filter and the target maneuvers, we propose an adaptive genetic multiple-model CPHD filter in this paper.… read more here.

Keywords: cphd filter; filter; multitarget tracking; adaptive genetic ... See more keywords
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Underwater Multitarget Tracking With Sonar Images Using Thresholded Sequential Monte Carlo Probability Hypothesis Density Algorithm

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3216638

Abstract: This letter presents a multitarget tracking algorithm—thresholded sequential Monte Carlo probability hypothesis density (TH-SMC-PHD) algorithm. The TH-SMC-PHD aims to overcome the problem that underwater multitarget tracking is prone to missing tracking on sonar images, resulting… read more here.

Keywords: multitarget tracking; sonar images; thresholded sequential; underwater multitarget ... See more keywords
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Adaptive Consensus-Based Distributed System for Multisensor Multitarget Tracking

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Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2021.3132285

Abstract: In this article, a new comprehensive system for distributed multisensor multitarget tracking is proposed. All of its functions, including track initiation, confirmation, maintenance and termination, and track-to-track association and fusion, are built around the concept… read more here.

Keywords: system; adaptive consensus; multisensor multitarget; multitarget tracking ... See more keywords
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Event-Triggered Consensus LMB Filter for Distributed Multitarget Tracking

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Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2022.3187390

Abstract: This correspondence investigates the problem of reducing energy and bandwidth consumption of a sensor network for distributed multitarget tracking by the labeled multi-Bernoulli filter. To this end, an event-triggered method is adopted together with a… read more here.

Keywords: event triggered; multitarget tracking; consensus; distributed multitarget ... See more keywords
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Possibility Generalized Labeled Multi-Bernoulli Filter for Multitarget Tracking Under Epistemic Uncertainty

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Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2022.3200022

Abstract: This article presents a flexible modeling framework for multitarget tracking based on the theory of outer probability measures. The notion of labeled uncertain finite set is introduced and utilized as the basis to derive a… read more here.

Keywords: multitarget; labeled multi; uncertainty; multitarget tracking ... See more keywords
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Integrating Covariance Intersection Into Bayesian Multitarget Tracking Filters

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Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2022.3201509

Abstract: Multitarget tracking systems typically provide sets of estimated target states as their output. It is challenging to be able to integrate these outputs as inputs to other tracking systems to gain a better picture of… read more here.

Keywords: multitarget tracking; bayesian multitarget; covariance intersection; multitarget ... See more keywords
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Multi-UAV Collaborative Trajectory Optimization for Asynchronous 3-D Passive Multitarget Tracking

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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3239952

Abstract: This article considers the 3-D collaborative trajectory optimization (CTO) of multiple unmanned aerial vehicles to improve multitarget tracking performance with an asynchronous angle of arrival measurements. The predicted conditional Cramér–Rao lower bound is adopted as… read more here.

Keywords: problem; collaborative trajectory; trajectory optimization; multitarget tracking ... See more keywords
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Skill Movement Trajectory Recognition of Freestyle Skiing U-Shaped Field Based on Deep Learning and Multitarget Tracking Algorithm

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Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/7992045

Abstract: Freestyle skiing U-shaped field is a snow sport that uses double boards to perform a series of action skills in a U-shaped pool, which requires very high skills for athletes. In this era of deep… read more here.

Keywords: multitarget tracking; deep learning; tracking algorithm; training method ... See more keywords