Results 41 to 50 of about 4,346 (236)
The Product Multi-Sensor Labeled Multi-Bernoulli Filter
, 2023 The main challenge in random finite set-based multi-sensor multi-object tracking is the NP-hard association of the sensor measurements with the tracks.
Herrmann, Martin +3 more
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Exact Closed-Form Multitarget Bayes Filters
Sensors, 2019 The finite-set statistics (FISST) foundational approach to multitarget tracking and information fusion has inspired work by dozens of research groups in at least 20 nations; and FISST publications have been cited tens of thousands of times.
Ronald Mahler
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IEEE Access, 2019 In surveillance applications, the extent states and measurements of extended targets received by sensors are time-varying. In this paper, we propose a joint tracking and classification (JTC) method for single extended target under the presence of clutter
Liping Wang +3 more
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Journal of Marine Science and Engineering, 2023 A proper filtering method for jump Markov system (JMS) is an effective approach for tracking a maneuvering target. Since the coexisting of heavy-tailed measurement noises (HTMNs) and one-step random measurement delay (OSRMD) in the complex scenarios of ...
Chen Chen, Weidong Zhou, Lina Gao
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IMM Bernoulli Gaussian Particle Filter
IFAC-PapersOnLine, 2018 Abstract The Bernoulli filter (BF) in the interacting multiple model (IMM) framework is proposed for detecting and tracking a maneuvering target. The BF is implemented as a particle filter and embedded in the IMM structure. The communication between the IMM and the BF is achieved through a Gaussian layer.
Olivér Töro +3 more
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Entropy, 2021 In this paper, a new variational Bayesian-based Kalman filter (KF) is presented to solve the filtering problem for a linear system with unknown time-varying measurement loss probability (UTVMLP) and non-stationary heavy-tailed measurement noise (NSHTMN).
Chenghao Shan +3 more
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Target tracking in the framework of possibility theory : the possibilistic Bernoulli filter [PDF]
, 2020 The Bernoulli filter is a Bayes filter for joint detection and tracking of a target in the presence of false and miss detections. This paper presents a mathematical formulation of the Bernoulli filter in the framework of possibility theory, where ...
Ristic, Branko +2 more
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The Adaptive Labeled Multi-Bernoulli Filter
CoRR, 2018 This paper proposes a new multi-Bernoulli filter called the Adaptive Labeled Multi-Bernoulli filter. It combines the relative strengths of the known Delta-Generalized Labeled Multi-Bernoulli and the Labeled Multi-Bernoulli filter. The proposed filter provides a more precise target tracking in critical situations, where the Labeled Multi-Bernoulli ...
Andreas Danzer +2 more
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Visual multiple‐object tracking for unknown clutter rate
IET Computer Vision, 2018 In multi‐object tracking applications, model parameter tuning is a prerequisite for reliable performance. In particular, it is difficult to know statistics of false measurements due to various sensing conditions and changes in the field of views. In this
Du Yong Kim
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Multiple Maneuvering Targets Tracking Using MM-CBMeMBer Filter
Leida xuebao, 2012 The existing multiple model hypothesis density filter can estimate the number and state of maneuvering targets at the same time. Yet its Sequential Monte Carlo (SMC) implementation involves clustering algorithm, which is unstable and time consuming, and ...
Xiong Bo, Gan Lu
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