Results 1 to 10 of about 1,741 (173)
Space Debris Tracking with the Poisson Labeled Multi-Bernoulli Filter [PDF]
Sensors, 2021 This paper presents a Bayesian filter based solution to the Space Object (SO) tracking problem using simulated optical telescopic observations. The presented solution utilizes the Probabilistic Admissible Region (PAR) approach, which is an orbital ...
Leonardo Cament +2 more
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Cardinality Balanced Multi-Target Multi-Bernoulli Filter with Error Compensation [PDF]
Sensors, 2016 The cardinality balanced multi-target multi-Bernoulli (CBMeMBer) filter developed recently has been proved an effective multi-target tracking (MTT) algorithm based on the random finite set (RFS) theory, and it can jointly estimate the number of targets ...
Xiangyu He, Guixi Liu
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Multi-Target Tracking Based on Multi-Bernoulli Filter with Amplitude for Unknown Clutter Rate [PDF]
Sensors, 2015 Knowledge of the clutter rate is of critical importance in multi-target Bayesian tracking. However, estimating the clutter rate is a difficult problem in practice.
Changshun Yuan +4 more
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Robust Measurement-Driven Cardinality Balance Multi-Target Multi-Bernoulli Filter [PDF]
Sensors, 2021 The multi-target tracking filter under the Bayesian framework has strict requirements on the prior information of the target, such as detection probability density, clutter density, and target initial position information.
Biao Yang +4 more
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A Multisensor Multi-Bernoulli Filter [PDF]
IEEE Transactions on Signal Processing, 2017 In this paper we derive a multi-sensor multi-Bernoulli (MS-MeMBer) filter for multi-target tracking. Measurements from multiple sensors are employed by the proposed filter to update a set of tracks modeled as a multi-Bernoulli random finite set. An exact implementation of the MS-MeMBer update procedure is computationally intractable.
Mark Coates +2 more
exaly +3 more sources
A Multisource Multi-Bernoulli Filter for Multistatic Radar
IEEE Access, 2022 Compared with conventional monostatic or bistatic radar, multistatic radar has wider coverage, better performance of localization and higher tracking accuracy.
Xueqin Zhou, Hong Ma, Jiang Jin, Hang Xu
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Decentralized Poisson Multi-Bernoulli Filtering for Vehicle Tracking [PDF]
IEEE Access, 2020 A decentralized Poisson multi-Bernoulli filter is proposed to track multiple vehicles using multiple high-resolution sensors. Independent filters estimate the vehicles' presence, state, and shape using a Gaussian process extent model; a decentralized ...
Markus Frohle +2 more
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Robust Poisson Multi-Bernoulli Filter With Unknown Clutter Rate [PDF]
IEEE Access, 2019 In Bayesian multi-target tracking (MTT), knowledge of clutter intensity is required for effective multi-target state estimation. In this paper, we propose an online multi-target filter that can operate under background with unknown clutter intensity. Our
Weijian Si, Hongfan Zhu, Zhiyu Qu
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δ-GLMB filter based on DI in a clutter [PDF]
The Journal of Engineering, 2019 For the problem that the performance of existing multi-target tracking algorithm's serious degrades in a dense clutter environment, a novel Doppler information assistant δ-generalised labelled multi-Bernoulli (DI-δ-GLMB) filter is proposed.
Hua-fu Peng +3 more
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A Generalized Labeled Multi-Bernoulli Filter With Object Spawning [PDF]
IEEE Transactions on Signal Processing, 2018 Previous labeled random finite set filter developments use a motion model that only accounts for survival and birth. While such a model provides the means for a multi-object tracking filter such as the Generalized Labeled Multi-Bernoulli (GLMB) filter to capture object births and deaths in a wide variety of applications, it lacks the capability to ...
Daniel Bryant +2 more
exaly +4 more sources