8 papers
PiVoT: A Variational Solution for Real-time Large-scale Multi-object Detection and Tracking under Heavy Clutter
Runze Gan, Qing Li, Simon J. Godsill +2
Multi-object detection and tracking from noisy point clouds remain challenging in many data-scarce radar applications. Current Bayesian trackers based on Poisson measurement models…
PHAST-Net: Attention-Guided, Physics-Informed Network for Estimation of Ideal Time-Frequency Representations
James M. Cozens, Simon J. Godsill
We introduce PHAST-Net, an attention-guided, physics-informed network for unified estimation of Ideal Time-Frequency Representations (ITFRs), spanning spectral, tempo-based, metric…
Integrated Gaussian Processes for Robust and Adaptive Multi-Object Tracking
Fred Lydeard, Bashar I. Ahmad, Simon Godsill
This paper presents a computationally efficient multi-object tracking approach that can minimise track breaks (e.g., in challenging environments and against agile targets), learn t…
Distributed Expectation Propagation for Multi-Object Tracking over Sensor Networks
Qing Li, Runze Gan, James R. Hopgood +2
In this paper, we present a novel distributed expectation propagation algorithm for multiple sensors, multiple objects tracking in cluttered environments. The proposed framework en…
State Space Model Programming in Turing.jl
Tim Hargreaves, Qing Li, Charles Knipp +3
State space models (SSMs) are a powerful and widely-used class of probabilistic models for analysing time-series data across various fields, from econometrics to robotics. Despite…
Bayesian Non-Parametric Inference for Lévy Measures in State-Space Models
Bill Z. Lin, Simon Godsill
Lévy processes, known for their ability to model complex dynamics with skewness, heavy tails, and discontinuities, play a critical role in stochastic modeling across various domain…
RIFT: Entropy-Optimised Fractional Wavelet Constellations for Ideal Time-Frequency Estimation
James M. Cozens, Simon J. Godsill
We introduce a new method for estimating the Ideal Time-Frequency Representation (ITFR) of complex nonstationary signals. The Reconstructive Ideal Fractional Transform (RIFT) compu…
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes
Qing Li, Runze Gan, Simon Godsill
This paper tackles the challenge of multi-sensor multi-object tracking by proposing various decentralised Variational Inference (VI) schemes that match the tracking performance of…