Special Presentation

    Prof. Ba-Ngu Vo,Curtin University,Australian
    Ba-Ngu Vo received his Bachelor degrees jointly in Science and Electrical Engineering with first class honors in 1994, and PhD in 1997. He had held various research positions at various institutions before joined the University of Western Australia as Winthrop Professor and Chair of Signal Processing in 2010. Currently he is Professor and Chair of Signals and Systems in the Department of Electrical and Computer Engineering at Curtin University. Prof. Vo is a recipient of the Australian Research Council’s inaugural Future Fellowship and the 2010 Eureka Prize for Outstanding Science in support of Defense or National Security. He is an associate editor of the IEEE Transaction on Aerospace and Electronic System. He is best known as a pioneer in the random set approach to multi-object filtering. His research interests are signal processing, systems theory and stochastic geometry with emphasis on target tracking, space situational awareness, robotics and computer vision.
    TITLE:Beyond the PHD Filter

    This is not a tutorial, but an extended overview of random finite set (RFS) theory and its applications in the last decade and half. The introduction of RFS theory to multi-object system has a big influence in the field. The Probability Hypothesis Density (PHD) filter, a crude approximate solution, has attracted so much interest that it is synonymous with the RFS approach. However, there is much more to the RFS approach than the PHD filter. There are more powerful RFS-based multi-object filtering techniques such as the Cardinalised PHD (CPHD) filter and the Generalised Labelled Multi-Bernoulli (GLMB) filter, a closed form solution to the Bayes multi-target filter, hailed as the analogue of the Kalman filter for multi-object system. This presentation provides an overview of important developments and? interesting real world applications in multi-object system during last fifteen years. The latest research trends and potential new research directions will also be discussed.