selected publications

• academic article

  • Gradient-Based Sequential Markov Chain Monte Carlo for Multitarget Tracking With Correlated Measurements.  IEEE Transactions on Signal and Information Processing over Networks.  4:510-518. 2017
  • Subgradient-based Markov Chain Monte Carlo particle methods for discrete-time nonlinear filtering.  Signal Processing.  120:532-536. 2015
  • Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking.  Digital Signal Processing.  25:1-16. 2013

• blog posting

  • How Can Subsampling Reduce Complexity in Sequential MCMC Methods and Deal with Big Data in Target Tracking?.  arXiv (Cornell University). 2015

• conference paper

  • A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation.  HAL (Le Centre pour la Communication Scientifique Directe). 2015
  • An Expectation Maximisation Algorithm for Behaviour Analysis in Video.  HAL (Le Centre pour la Communication Scientifique Directe). 2015
  • Sequential Markov Chain Monte Carlo for multi-target tracking with correlated RSS measurements.  . 1-6. 2015
  • MCMC-based tracking and identification of leaders in groups.  . 112-119. 2011