Title: Beyond the Probability Hypothesis Density (PHD) Filters
Speaker: Professor Ba-Ngu Vo, University of Melbourne, Australia
Date: Thursday July 2, 2009
Time: 12:00 - 13:00 PM
Place: GTRI CCRF1 Conference Room
Refreshments: 11:40 AM

Abstract - In recent years Mahler’s Finite Set Statistics (FISST) approach to multi-target tracking has
attracted substantial interest mainly through the developments of the PHD/cardinalized PHD (CPHD)
filters. However, FISST is much more powerful and extends beyond the PHD/CPHD filters. This talk
explores a number of tractable tracking solutions derived from FISST, including, joint detection and
tracking (of a single target) using Bernoulli random sets, multi-target tracking using multi-Bernoulli random
sets, and multi-target smoothing with the PHD.
Biography - Ba-Ngu Vo received his Bachelor degrees jointly in Science and Electrical Engineering with
first class honors at the University of Western Australia in 1994, and PhD at Curtin University of
Technology in 1997. He has held various research positions in Australia and overseas before joining the
department of Electrical and Electronic Engineering at the University of Melbourne in 2000, where he is
currently an Associate Professor. Dr. Vo's research interests include optimization, signal processing, and
multi-target tracking. He is best known for contributions to particle and analytic solutions of the PHD and
CPHD filters.

Directions to GTRI Cobb County Research Facility (CCRF)
http://www.gtri.gatech.edu/atlanta/seal

For more information: Contact Mahendra Mallick at

mahendra.mallick@gtri.gatech.edu, 404-407-8711.