Online Audio-Visual Multi-Source Tracking and Separation: A Labeled Random Finite Set Approach
| dc.contributor.author | Ong, Jonah Soon Xuan | |
| dc.contributor.supervisor | Ba Tuong Vo | en_US |
| dc.contributor.supervisor | Sven Nordholm | en_US |
| dc.contributor.supervisor | Ba-Ngu Vo | en_US |
| dc.date.accessioned | 2022-09-09T03:50:28Z | |
| dc.date.available | 2022-09-09T03:50:28Z | |
| dc.date.issued | 2021 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/89300 | |
| dc.description.abstract |
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 positions and identities for each time point. With this information, a set of beamformers can be designed to separate each desired source and suppress the interfering sources. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Online Audio-Visual Multi-Source Tracking and Separation: A Labeled Random Finite Set Approach | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | School of Electrical Engineering, Computing and Mathematical Sciences | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Science and Engineering | en_US |
| curtin.contributor.orcid | Ong, Jonah Soon Xuan [0000-0002-8019-0099] | en_US |