Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/107951
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dc.contributor.author | Rezatofighi, S. | - |
dc.contributor.author | Milan, A. | - |
dc.contributor.author | Zhang, Z. | - |
dc.contributor.author | Shi, Q. | - |
dc.contributor.author | Dick, A. | - |
dc.contributor.author | Reid, I. | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Proceedings / IEEE International Conference on Computer Vision. IEEE International Conference on Computer Vision, 2015, vol.2015 International Conference on Computer Vision, ICCV 2015, pp.3047-3055 | - |
dc.identifier.isbn | 9781467383912 | - |
dc.identifier.issn | 1550-5499 | - |
dc.identifier.uri | http://hdl.handle.net/2440/107951 | - |
dc.description.abstract | In this paper, we revisit the joint probabilistic data association (JPDA) technique and propose a novel solution based on recent developments in finding the m-best solutions to an integer linear program. The key advantage of this approach is that it makes JPDA computationally tractable in applications with high target and/or clutter density, such as spot tracking in fluorescence microscopy sequences and pedestrian tracking in surveillance footage. We also show that our JPDA algorithm embedded in a simple tracking framework is surprisingly competitive with state-of-the-art global tracking methods in these two applications, while needing considerably less processing time. | - |
dc.description.statementofresponsibility | Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony Dick, Ian Reid | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.relation.ispartofseries | IEEE International Conference on Computer Vision | - |
dc.rights | © 2015 IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/iccv.2015.349 | - |
dc.subject | Target tracking, probabilistic logic, clutter, surveillance, kalman filters, noise measurement, time measurement | - |
dc.title | Joint Probabilistic Data Association Revisited | - |
dc.type | Conference paper | - |
dc.contributor.conference | 2015 IEEE International Conference on Computer Vision (ICCV 2015) (7 Dec 2015 - 13 Dec 2015 : Santiago, CHILE) | - |
dc.identifier.doi | 10.1109/ICCV.2015.349 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/LP130100154 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Zhang, Z. [0000-0003-2805-4396] | - |
dc.identifier.orcid | Shi, Q. [0000-0002-9126-2107] | - |
dc.identifier.orcid | Dick, A. [0000-0001-9049-7345] | - |
dc.identifier.orcid | Reid, I. [0000-0001-7790-6423] | - |
Appears in Collections: | Aurora harvest 3 Computer Science publications |
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RA_hdl_107951.pdf Restricted Access | Restricted Access | 1.25 MB | Adobe PDF | View/Open |
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