Results 21 to 30 of about 30,144 (206)
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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Poisson Multi-Bernoulli Mixture Filter for Trajectory Measurements [PDF]
IEEE Transactions on Signal Processing16 pages, 9 figures, journal ...
Marco Fontana +2 more
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A Generalized Labeled Multi-Bernoulli Filter for Maneuvering Targets [PDF]
CoRR, 2016 A multiple maneuvering target system can be viewed as a Jump Markov System (JMS) in the sense that the target movement can be modeled using different motion models where the transition between the motion models by a particular target follows a Markov chain probability rule.
Yuthika Punchihewa +2 more
openaire +4 more sources
Robust Multi-Bernoulli Filtering
IEEE Journal of Selected Topics in Signal Processing, 2013 In Bayesian multi-target filtering knowledge of parameters such as clutter intensity and detection probability profile are of critical importance. Significant mismatches in clutter and detection model parameters results in biased estimates. In this paper we propose a multi-target filtering solution that can accommodate non-linear target models and an ...
Ba-Tuong Vo +3 more
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Multiple-Model Cardinality Balanced Multitarget Multi-Bernoulli Filter for Tracking Maneuvering Targets [PDF]
Journal of Applied Mathematics, 2013 By integrating the cardinality balanced multitarget multi-Bernoulli (CBMeMBer) filter with the interacting multiple models (IMM) algorithm, an MM-CBMeMBer filter is proposed in this paper for tracking multiple maneuvering targets in clutter.
Xianghui Yuan, Feng Lian, Chongzhao Han
doaj +2 more sources
Robust multi-Bernoulli filtering for visual tracking
The 2014 International Conference on Control, Automation and Information Sciences (ICCAIS 2014), 2014 To achieve reliable multi-object filtering in vision application, it is of great importance to determine appropriate model parameters. Parameters such as motion and measurement noise covariance can be chosen based on the image frame rate and the property of the designed detector. However, it is not trivial to obtain the average number of false positive
Du Yong Kim, Moongu Jeon
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Box-Particle Cardinality Balanced Multi-Target Multi-Bernoulli Filter
Radioengineering, 2014 As a generalized particle filtering, the box-particle filter (Box-PF) has a potential to process the measurements affected by bounded error of unknown distributions and biases.
L. Song, X. Zhao
doaj +1 more source
Trajectory Poisson Multi-Bernoulli Filters [PDF]
IEEE Transactions on Signal Processing, 2020 This paper presents two trajectory Poisson multi-Bernoulli (TPMB) filters for multi-target tracking: one to estimate the set of alive trajectories at each time step and another to estimate the set of all trajectories, which includes alive and dead trajectories, at each time step.
Ángel F. García-Fernández +4 more
openaire +3 more sources
Interaction-Aware Labeled Multi-Bernoulli Filter
IEEE Transactions on Intelligent Transportation Systems, 2023 13 pages including references, 9 figures, submitted and undergoing second round of review with IEEE Transactions on Intelligent Transportation Systems (ITS)
Nida Ishtiaq +3 more
openaire +2 more sources
The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter
, 2023 The multi-sensor Labeled Multi-Bernoulli filter has the challenge of relying on the NP-hard multi-sensor update of the Generalized Labeled Multi-Bernoulli filter.
Herrmann, Martin +4 more
core +1 more source