Stochastic geometry in multi-object filtering

Prof. Ba-Ngu Vo (University of Western Australia)

COMPUTER VISION AND ROBOTICS SERIES

DATE: 2011-11-17
TIME: 16:00:00 - 17:00:00
LOCATION: NICTA - 7 London Circuit
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ABSTRACT:
Abstract: Stochastic geometry-the marriage between geometry and probability-is a mathematical discipline that deals with random spatial patterns. The history of stochastic geometry traces back to the problem of Buffon's needle and has long been used by statisticians in many diverse applications including agriculture, geology, and epidemiology. In recent years there has been a resurgence of interest with emerging applications such as image analysis, biomedical engineering, telecommunications and target tracking. This talk presents an application of stochastic geometry to systems with stochastically time-varying number of states, in particular the development of the Probability Hypothesis Density (PHD) filters, which attracted substantial interests from academia and industry alike.
BIO:
Prof Vo is the Winthrop Professor and Chair of Signal Processing in the School of Electrical Electronic and Computer Engineering at the University of Western Australia. His research interests are Signal Processing, Systems Theory and Stochastic Geometry with emphasis on target tracking, robotics, computer vision.