dc.contributor.author |
Van der Merwe, LJ
|
|
dc.contributor.author |
De Villiers, JP
|
|
dc.date.accessioned |
2014-03-04T08:52:43Z |
|
dc.date.available |
2014-03-04T08:52:43Z |
|
dc.date.issued |
2013-07 |
|
dc.identifier.citation |
Van der Merwe, L.J and De Villiers, J.P. 2013. Track-stitching using graphical models and message passing. In: Information Fusion (FUSION), 2013 16th International Conference on Information FUSION, Askeri Museum, Istanbul, Turkey, 9-12 July 2013 |
en_US |
dc.identifier.uri |
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6641069
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|
dc.identifier.uri |
http://hdl.handle.net/10204/7266
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|
dc.description |
Information Fusion (FUSION), 2013 16th International Conference on Information FUSION, Askeri Museum, Istanbul, Turkey, 9-12 July 2013. Post print attached. |
en_US |
dc.description.abstract |
In order to stitch tracks together, two tasks are required, namely tracking and track stitching. In this study track stitching is performed using a graphical model and message passing (belief propagation) approach. Tracks are modelled as nodes in a track graph trellis (lattice) structure. This graph is then solved using a Viterbi data association algorithm. A Kalman filter is used to perform tracking, as well as in gating operations and in determining the track-to-track association probability. Multiple crossing targets, with fragmented tracks, are simulated. It is then shown, that the algorithm successfully stitches track fragments together, even in the presence of false tracks, caused by noisy observations. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE Xplore |
en_US |
dc.relation.ispartofseries |
Workflow;12229 |
|
dc.subject |
Multiple target tracking |
en_US |
dc.subject |
MTT |
en_US |
dc.subject |
Military target tracking |
en_US |
dc.subject |
Civilian surveillance |
en_US |
dc.subject |
Algorithms |
en_US |
dc.title |
Track-stitching using graphical models and message passing |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Van der Merwe, L., & De Villiers, J. (2013). Track-stitching using graphical models and message passing. IEEE Xplore. http://hdl.handle.net/10204/7266 |
en_ZA |
dc.identifier.chicagocitation |
Van der Merwe, LJ, and JP De Villiers. "Track-stitching using graphical models and message passing." (2013): http://hdl.handle.net/10204/7266 |
en_ZA |
dc.identifier.vancouvercitation |
Van der Merwe L, De Villiers J, Track-stitching using graphical models and message passing; IEEE Xplore; 2013. http://hdl.handle.net/10204/7266 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Van der Merwe, LJ
AU - De Villiers, JP
AB - In order to stitch tracks together, two tasks are required, namely tracking and track stitching. In this study track stitching is performed using a graphical model and message passing (belief propagation) approach. Tracks are modelled as nodes in a track graph trellis (lattice) structure. This graph is then solved using a Viterbi data association algorithm. A Kalman filter is used to perform tracking, as well as in gating operations and in determining the track-to-track association probability. Multiple crossing targets, with fragmented tracks, are simulated. It is then shown, that the algorithm successfully stitches track fragments together, even in the presence of false tracks, caused by noisy observations.
DA - 2013-07
DB - ResearchSpace
DP - CSIR
KW - Multiple target tracking
KW - MTT
KW - Military target tracking
KW - Civilian surveillance
KW - Algorithms
LK - https://researchspace.csir.co.za
PY - 2013
T1 - Track-stitching using graphical models and message passing
TI - Track-stitching using graphical models and message passing
UR - http://hdl.handle.net/10204/7266
ER -
|
en_ZA |