Audio–visual particle flow smc-phd filtering for multi-speaker tracking
Sequential Monte Carlo probability hypothesis density (SMC-PHD) filtering is a popular
method used recently for audio-visual (AV) multi-speaker tracking. However, due to the …
method used recently for audio-visual (AV) multi-speaker tracking. However, due to the …
Labelled non-zero particle flow for smc-phd filtering
The sequential Monte Carlo probability hypothesis density (SMC-PHD) filter assisted by
particle flows (PF) has been shown to be promising for audio-visual multi-speaker tracking …
particle flows (PF) has been shown to be promising for audio-visual multi-speaker tracking …
On the design of stochastic particle flow filters
There are mainly two types of particle flows in the design of particle flow filters, ie, the
deterministic flows and the stochastic flows as diffusion processes. These two types of flows …
deterministic flows and the stochastic flows as diffusion processes. These two types of flows …
A new parameterized family of stochastic particle flow filters
In this paper, we are interested in obtaining answers to the following questions for particle
flow filters: Can we provide a theoretical guarantee that particle flow filters give correct …
flow filters: Can we provide a theoretical guarantee that particle flow filters give correct …
A GLMB filter for unified multitarget multisensor management
R Mahler - Signal Processing, Sensor/Information Fusion, and …, 2019 - spiedigitallibrary.org
The generalized labeled multi-Bernoulli (GLMB) filter of Vo and Vo is an exact closed-form
solution of the multitarget Bayes' filter and is, therefore, provably Bayes-optimal. Its recent …
solution of the multitarget Bayes' filter and is, therefore, provably Bayes-optimal. Its recent …
Analytic solution of the exact Daum–Huang flow equation for particle filters
State estimation for nonlinear systems, especially in high dimensions, is a generally
intractable problem, despite the ever-increasing computing power. Efficient algorithms …
intractable problem, despite the ever-increasing computing power. Efficient algorithms …
Stiffness mitigation in stochastic particle flow filters
The linear convex log-homotopy has been used in the derivation of particle flow filters. One
natural question is whether it is beneficial to consider other forms of homotopy. We revisit …
natural question is whether it is beneficial to consider other forms of homotopy. We revisit …
A fast labeled multi-Bernoulli filter for superpositional sensors
R Mahler - Signal Processing, Sensor/Information Fusion, and …, 2018 - spiedigitallibrary.org
The labeled random finite set (LRFS) theory of B.-T. Vo and B.-N. Vo is the first systematic,
theoretically rigorous formulation of true multitarget tracking, and is the basis for the …
theoretically rigorous formulation of true multitarget tracking, and is the basis for the …
Joint detection and tracking of non‐ellipsoidal extended targets based on cubature Kalman‐CBMeMBer sub‐random matrices filter
M Barbary, MH Abd ElAzeem - IET Image Processing, 2020 - Wiley Online Library
Joint detection and tracking of multiple extended targets (ETs) from image observations is a
challenging radar technology; especially for extended stealth targets (ESTs). This work …
challenging radar technology; especially for extended stealth targets (ESTs). This work …
Target Clustering Based Multi-Bernoulli Filter for Superpositional Sensors
W Sen - arXiv preprint arXiv:2308.09403, 2023 - arxiv.org
The sensor whose output is a function of the sum of contributions from targets present in the
surveillance area is called superpositional sensor. In this letter, target clustering based multi …
surveillance area is called superpositional sensor. In this letter, target clustering based multi …