Speaker: Professor Ba-Ngu Vo, Curtin University, Australia (báo cáo trực tiếp)

Talk title: Inference with Multi-object Hidden Markov Models

Time: 08:30 - 09:30, Friday, November 25, 2022.

Seminar: Hybrid seminar (onsite at VIASM and online) [Registration here]

Abstract: In a Multi-object Hidden Markov Model (HMM) or State Space Model, the hidden state is a finite set or a point pattern. This is a natural extension of HMM to describe dynamical systems where the state is finite set whose cardinality and elements evolve with time in a random fashion. Multi-object HMMs arise in many application areas including as multi-agent system, computer vision, robotics, biomedical research and machine learning. Indeed, most systems in nature can be regarded as multi-object systems. This presentation provides an overview of exciting developments in multi-object HMMs with the theory of stochastic geometry, including state-of-the-arts tools for multi-object estimation and control. Example applications such as autonomous cars/drones, computer vision, and large-scale multi-object tracking, will also be presented.

Bio: Võ Bá-Ngự received the bachelor’s degree in mathematics and electrical engineering (with first class honours) in 1994, and the Ph.D. degree in 1997. He has held appointments at the University of Melbourne and the University of Western Australia. Currently, he is a Professor in the faculty of Science and Engineering Curtin University, Western Australia. He is a Fellow of the IEEE, and co-recipient of the 2010 Eureka Prize for "Outstanding Science in support of Defence or National Security". Ngự is best known as a pioneer in the stochastic geometric approach to multi-object system. His research interests include signal processing, systems theory, and stochastic geometry, with emphasis on target tracking, sensor management, computer vision, and situational awareness.).

For more information: http://ba-ngu.vo-au.com/, https://scholar.google.com/citations?user=V03zTGIAAAAJ&hl=vi