Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/106854
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ren, C. | - |
dc.contributor.author | Prisacariu, V. | - |
dc.contributor.author | Kähler, O. | - |
dc.contributor.author | Reid, I. | - |
dc.contributor.author | Murray, D. | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | International Journal of Computer Vision, 2017; 124(1):80-95 | - |
dc.identifier.issn | 0920-5691 | - |
dc.identifier.issn | 1573-1405 | - |
dc.identifier.uri | http://hdl.handle.net/2440/106854 | - |
dc.description.abstract | We describe a novel probabilistic framework for real-time tracking of multiple objects from combined depth-colour imagery. Object shape is represented implicitly using 3D signed distance functions. Probabilistic generative models based on these functions are developed to account for the observed RGB-D imagery, and tracking is posed as a maximum a posteriori problem. We present first a method suited to tracking a single rigid 3D object, and then generalise this to multiple objects by combining distance functions into a shape union in the frame of the camera. This second model accounts for similarity and proximity between objects, and leads to robust real-time tracking without recourse to bolt-on or ad-hoc collision detection. | - |
dc.description.statementofresponsibility | C. Y. Ren, V. A. Prisacariu, O. Kähler, I. D. Reid, D. W. Murray | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.rights | © The Author(s) 2017. This article is published with open access at Springerlink.com | - |
dc.source.uri | http://dx.doi.org/10.1007/s11263-016-0978-2 | - |
dc.subject | Multi-object tracking; depth tracking; RGB-D imagery; signed distance functions; real-time | - |
dc.title | Real-time tracking of single and multiple objects from depth-colour imagery using 3D signed distance functions | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1007/s11263-016-0978-2 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/FL130100102 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Reid, I. [0000-0001-7790-6423] | - |
Appears in Collections: | Aurora harvest 3 Computer Science publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.