Towards large scale multi-target tracking
| dc.contributor.author | Vo, Ba-Ngu | |
| dc.contributor.author | Vo, Ba Tuong | |
| dc.contributor.author | Reuter, S. | |
| dc.contributor.author | Lam, Q. | |
| dc.contributor.author | Dietmayer, K. | |
| dc.date.accessioned | 2017-01-30T12:18:50Z | |
| dc.date.available | 2017-01-30T12:18:50Z | |
| dc.date.created | 2015-10-29T04:09:47Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation | Vo, B. and Vo, B.T. and Reuter, S. and Lam, Q. and Dietmayer, K. 2014. Towards large scale multi-target tracking: SPIE. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/20355 | |
| dc.identifier.doi | 10.1117/12.2055002 | |
| dc.description.abstract |
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. | |
| dc.publisher | SPIE | |
| dc.title | Towards large scale multi-target tracking | |
| dc.type | Conference Paper | |
| dcterms.source.volume | 9085 | |
| dcterms.source.title | Proceedings of SPIE - The International Society for Optical Engineering | |
| dcterms.source.series | Proceedings of SPIE - The International Society for Optical Engineering | |
| dcterms.source.isbn | 9781628410228 | |
| curtin.department | Department of Electrical and Computer Engineering | |
| curtin.accessStatus | Fulltext not available |
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