144 citations · 430 across the 22 of their papers we have counts for
4 papers · 1 filter
A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation
Matthew Hawes, Lyudmila Mihaylova, Francois Septier +1
In this paper, we look to address the problem of estimating the dynamic direction of arrival (DOA) of a narrowband signal impinging on a sensor array from the far field. The initia…
Bayesian Intent Prediction in Object Tracking Using Bridging Distributions
Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon +1
In several application areas, such as human computer interaction, surveillance and defence, determining the intent of a tracked object enables systems to aid the user/operator and…
How Can Subsampling Reduce Complexity in Sequential MCMC Methods and Deal with Big Data in Target Tracking?
Allan De Freitas, François Septier, Lyudmila Mihaylova +1
Target tracking faces the challenge in coping with large volumes of data which requires efficient methods for real time applications. The complexity considered in this paper is whe…
Rao-Blackwellized particle smoothers for conditionally linear Gaussian models
Fredrik Lindsten, Pete Bunch, Simo Särkkä +2
Sequential Monte Carlo (SMC) methods, such as the particle filter, are by now one of the standard computational techniques for addressing the filtering problem in general state-spa…