A Two-Stage Feature Point Detection and Marking Approach Based on the Labeled Multi-Bernoulli Filter. [PDF]
Sensors (Basel), 2022 Yang J, Liu W.
europepmc +1 more source
Multi-Sensor Multi-Object Tracking with the Generalized Labeled Multi-Bernoulli Filter
, 2019 This paper proposes an efficient implementation of the multi-sensor generalized labeled multi-Bernoulli (GLMB) filter. Like its single-sensor counterpart, such implementation requires truncating the GLMB sum.
Michael Beard (23438365) +2 more
core
Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and its Implementation
, 2022 We previously presented the product multi-sensor generalized labeled multi-Bernoulli filter, which constitutes a multi-object filter for centralized and distributed multi-sensor systems with centralized estimator.
Herrmann, Charlotte +5 more
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Improved trial methods for a class of generalized Bernoulli problems [PDF]
, 2013 The aim of this article is to develop improved trial methods for the solution of a generalized exterior Bernoulli free boundary problem. At the free boundary, we prescribe the Neumann boundary condition and update the free boundary with the help of the ...
Mitrou, Giannoula, Harbrecht, Helmut
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Refined PHD Filter for Multi-Target Tracking under Low Detection Probability
Sensors, 2019 Radar target detection probability will decrease as the target echo signal-to-noise ratio (SNR) decreases, which has an adverse influence on the result of multi-target tracking.
Sen Wang, Qinglong Bao, Zengping Chen
doaj +1 more source
Digit frequencies and Bernoulli convolutions [PDF]
, 2014 This work was supported partly by the Dutch Organisation for Scientific Research (NWO) grant number 613.001.022 and partly by the Engineering and Physical Sciences Research Council grant number EP/K029061/1.It is well known that when β is a Pisot number,
Kempton, Thomas Michael William
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Multi-Bernoulli based track-before-detect with road constraints
, 2012 The random set based multi-Bernoulli filter is applied to a challenging low signal to noise track before detect scenario. Specifically we use the variant of the multi-Bernoulli filter that processes raw image observations.
Ba-Ngu Vo (13623463) +3 more
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Generalized Labeled Multi-Bernoulli Extended Target Tracking Based on Gaussian Process Regression
MATEC Web of Conferences, 2018 For the problems that Gamma Gaussian Inverse Wishart Cardinalized Probability Hypothesis Density (GGIW-CPHD) filter cannot accurately estimate the extended target shape and has a bad tracking performance under the condition of low SNR, a new generalized ...
Chi Luo-jia, Feng Xin-xi, Miao Lu
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Labelled GM-CBMEMBER filter with adaptive track initiation
The Journal of Engineering, 2019 The initial Gaussian mixture cardinality balanced multi-target multi-Bernoulli (GM-CBMeMBer) filter does not provide track information and assumes that the target birth intensity is known as a priori, but in reality the target may appear anywhere in the ...
Hemin Sun +4 more
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A Novel Structure for a Multi-Bernoulli Filter without a Cardinality Bias
, 2019 The original multi-target multi-Bernoulli (MeMBer) filter for multi-target tracking (MTT) is shown analytically to have a significant bias in its cardinality estimation.
Hongfan Zhu, Zhiyu Qu, Weijian Si
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