From the 1 of 8 linked papers with an AI index.
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
PiVoT is a training‑free variational inference framework that jointly detects and tracks many objects in noisy radar point clouds, handling heavy clutter, Doppler measurements, and…
PHAST-Net: Attention-Guided, Physics-Informed Network for Unified 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…
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 domai…
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…
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…