Towards large scale multi-target tracking
Multi-target tracking is intrinsically an NP-hard problem and the complexity of multi-target tracking solutions usually do not scale gracefully with problem size. Multi-target tracking for on-line applications involving a large number of targets is extremely challenging. This article demonstrates th...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Published: |
SPIE
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/20355 |
| _version_ | 1848750282777821184 |
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| author | Vo, Ba-Ngu Vo, Ba Tuong Reuter, S. Lam, Q. Dietmayer, K. |
| author_facet | Vo, Ba-Ngu Vo, Ba Tuong Reuter, S. Lam, Q. Dietmayer, K. |
| author_sort | Vo, Ba-Ngu |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Multi-target tracking is intrinsically an NP-hard problem and the complexity of multi-target tracking solutions usually do not scale gracefully with problem size. Multi-target tracking for on-line applications involving a large number of targets is extremely challenging. This article demonstrates the capability of the random finite set approach to provide large scale multi-target tracking algorithms. In particular it is shown that an approximate filter known as the labeled multi-Bernoulli filter can simultaneously track one thousand five hundred targets in clutter on a standard laptop computer. © 2014 SPIE. |
| first_indexed | 2025-11-14T07:34:22Z |
| format | Conference Paper |
| id | curtin-20.500.11937-20355 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:34:22Z |
| publishDate | 2014 |
| publisher | SPIE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-203552017-09-13T13:51:03Z Towards large scale multi-target tracking Vo, Ba-Ngu Vo, Ba Tuong Reuter, S. Lam, Q. Dietmayer, K. Multi-target tracking is intrinsically an NP-hard problem and the complexity of multi-target tracking solutions usually do not scale gracefully with problem size. Multi-target tracking for on-line applications involving a large number of targets is extremely challenging. This article demonstrates the capability of the random finite set approach to provide large scale multi-target tracking algorithms. In particular it is shown that an approximate filter known as the labeled multi-Bernoulli filter can simultaneously track one thousand five hundred targets in clutter on a standard laptop computer. © 2014 SPIE. 2014 Conference Paper http://hdl.handle.net/20.500.11937/20355 10.1117/12.2055002 SPIE restricted |
| spellingShingle | Vo, Ba-Ngu Vo, Ba Tuong Reuter, S. Lam, Q. Dietmayer, K. Towards large scale multi-target tracking |
| title | Towards large scale multi-target tracking |
| title_full | Towards large scale multi-target tracking |
| title_fullStr | Towards large scale multi-target tracking |
| title_full_unstemmed | Towards large scale multi-target tracking |
| title_short | Towards large scale multi-target tracking |
| title_sort | towards large scale multi-target tracking |
| url | http://hdl.handle.net/20.500.11937/20355 |