- Tracking an Unknown Time-Varying Number of Speakers using TDOA Measurements: A Random
- ADAPTIVE ENVELOPE-CONSTRAINED FILTERING Ba-Ngu Vo, Sumeetpal Singh and Vladislav Tadic
- On multi-Bernoulli approximations to the Bayes multi-target filter
- IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, VOL. 41, NO. 4, PP. 12241245, OCT 2005 1 Sequential Monte Carlo methods for Multi-target
- Convergence Analysis of the Gaussian Mixture Daniel Clark
- PREPRINT: IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 57, NO. 2, PP. 409-423, 2009 1 The Cardinality Balanced Multi-Target
- PREPRINT: IEEE TRANSACTIONS SIGNAL PROCESSING, VOL. 54, NO. 11, PP. 40914104, NOV 2006 1 The Gaussian Mixture Probability Hypothesis
- PREPRINT: IEEE TRANSACTIONS ON SIGNAL PROCESSING VOL. 56, NO. 8 PART 1, PP. 3447-3457, 2008 1 A Consistent Metric for Performance Evaluation of
- Filters for Spatial Point Processes Sumeetpal S. Singh, Ba-Ngu Vo, Adrian Baddeley
- NON-UNIFORM DFT FILTER BANKS DESIGN WITH SEMI-DEFINITE PROGRAMMING B. Vo, S. Nordholm and B. Vo*
- The Cardinalized Probability Hypothesis Density Filter for Linear Gaussian Multi-Target Models
- JOINT DETECTION AND TRACKING OF MULTIPLE MANEUVERING TARGETS IN CLUTTER USING RANDOM FINITE SETS
- Data Association and Track Management for the Gaussian Mixture Probability Hypothesis Density
- A Gaussian Mixture PHD Filter for Nonlinear Jump Markov Models Ba-Ngu Vo, Ahmed Pasha, Hoang Duong Tuan
- Probability Hypothesis Density filter versus Multiple Hypothesis Tracking
- Variance Reduction for Monte Carlo Implementation of Adaptive Sensor
- RANDOM FINITE SETS AND SEQUENTIAL MONTE CARLO METHODS IN MULTI-TARGET TRACKING
- Bayesian Multi-Object Estimation from Image Observations Dept of EEE
- ON THE BAYES FILTERING EQUATIONS OF FINITE SET STATISTICS Ba-Ngu Vo and Sumeetpal Singh*
- Sequential Monte Carlo Implementation of the PHD Filter for Multi-target Tracking
- IEEE TRANSACTION ON AES, VOL. X, NO. XX, MONTH 20XX 1 Novel Data Association Schemes for the Probability
- A Gaussian Mixture PHD Filter for Jump Markov System Models
- Particle filter for tracking linear Gaussian target with nonlinear observations
- ANALOG ENVELOPE CONSTRAINED FILTER WITH INPUT UNCERTAINTY Ba-Ngu Vo, Alex S. Leong, Pok Iu
- A Closed-Form Solution for the Probability Hypothesis Density Filter
- Closed Form PHD Filtering for Linear Jump Markov , H.D. Tuan
- PREPRINT: IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 55, NO. 7 PART 2, PP. 35533567, 2007 1 Analytic Implementations of the Cardinalized
- A Random Set Formulation for Bayesian SLAM John Mullane, Ba-Ngu Vo, Martin D. Adams, Wijerupage Sardha Wijesoma
- Bayesian Filtering with Random Finite Set Observations
