Results 21 to 30 of about 94,318 (256)
Extended target tracking filter with intermittent observations
IET Signal Processing, 2016 This study addresses the problem of tracking extended target with intermittent observations. Based on practical applications, two Bernoulli distributed random variables are employed to describe the intermittent phenomenon of the positional measurements and the measurements of target extent, respectively.
Jie Shi +3 more
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IEEE Access, 2019 Existing extended target probability hypothesis density (ET-PHD) filters are insufficient in tracking weak extended targets. Hough transform-based track-before-detect methods are designed to detect the weak targets in a straight-line constant-velocity ...
Bo Yan +4 more
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Extended Target Tracking Using Gaussian Processes
IEEE Transactions on Signal Processing, 2015 In this paper, we propose using Gaussian processes to track an extended object or group of objects, that generates multiple measurements at each scan.
Niklas Wahlstrom, Emre Özkan
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Improved Interacting Multiple Model Particle Filter Algorithm [PDF]
Xibei Gongye Daxue Xuebao, 2018 For the issue of limited filtering accuracy of interactive multiple model particle filter algorithm caused by the resampling particles don't contain the latest observation information, we made improvements on interactive multiple model particle filter ...
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Adaptive Target Birth Intensity for ET-PHD Filter
MATEC Web of Conferences, 2018 An adaptive tracking algorithm based on Extended target Probability Hypothesis Density (ETPHD) filter is proposed for extended target tracking problem with priori unknown target birth intensity.The algorithm is implemented by gaussian mixture, where the ...
Miao Lu, Feng Xin-xi, Chi Luo-jia
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Multi-Ellipsoidal Extended Target Tracking with Variational Bayes Inference [PDF]
IEEE Transactions on Signal Processing, 2021 <div>In this work, we propose a novel extended target tracking algorithm, which is capable of representing a target or a group of targets with multiple ellipses. Each ellipse is modeled by an unknown symmetric positive-definite random matrix. The proposed model requires solving two challenging problems. First, the data association problem between
Barkin Tuncer, Umut Orguner, Emre Özkan
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Robust Multisensor MeMBer Filter for Multiple Extended-Target Tracking [PDF]
Mathematical Problems in Engineering, 2021 This paper develops a robust extended-target multisensor multitarget multi-Bernoulli (ET-MS-MeMBer) filter for enhancing the unsatisfactory quality of measurement partitions arising in the classical ET-MS-MeMBer filter due to increased clutter intensities.
Xiaoke Lu +3 more
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Complexity, 2018 This paper is concerned with the target tracking problem of an autonomous surface vehicle in the presence of a maneuvering target. The velocity information of target is totally unknown to the follower vehicle, and only the relative distance and angle ...
Shengnan Gao +3 more
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Extended Target Marginal Distribution Poisson Multi-Bernoulli Mixture Filter
Sensors, 2020 The existence of clutter, unknown measurement sources, unknown number of targets, and undetected probability are problems for multi-extended target tracking, to address these problems; this paper proposes a gamma-Gaussian-inverse Wishart (GGIW ...
Haocui Du, Weixin Xie
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ALGORITHM FOR MULTIPLE EXTENDED TARGET TRACKING
Journal of Radio Electronics, 2023 This paper introduces a novel algorithm for multi–extended object tracking, which is based on probabilistic–statistical modelling, machine learning, and optimization theory. The proposed approach encompasses methods for modelling the state of extended objects, data association, and predicting and updating the state of extended objects at each time step.
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