Online Audio-Visual Multi-Source Tracking and Separation: A
Labeled Random Finite Set Approach

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Online Audio-Visual Multi-Source Tracking and Separation: A Labeled Random Finite Set Approach

The dissertation proposes an online solution for separating an unknown and time-varying number of moving sources using audio and visual data. The random finite set framework is used for the modeling and fusion of audio and visual data. This enables an online tracking algorithm to estimate the source...

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Bibliographic Details
Main Author:	Ong, Jonah Soon Xuan
Format:	Thesis
Published:	Curtin University 2021
Online Access:	http://hdl.handle.net/20.500.11937/89300

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