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| 001 | 9.875909 |
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| 003 | CaOODSP |
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| 005 | 20221107164554 |
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| 006 | m o d f |
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| 007 | cr |n||||||||| |
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| 008 | 190705t20182017xxcd #ob f000 0 eng d |
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| 040 | |aCaOODSP|beng|erda|cCaOODSP |
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| 043 | |an-cn--- |
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| 086 | 1 |aD68-3/244-2017E-PDF |
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| 100 | 1 |aYu, Jun Ye, |eauthor. |
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| 245 | 10|aAlgorithms for the multi-sensor assignment problem in the δ-generalized labeled multi-Bernoulli filter / |cJun Ye Yu [and three others]. |
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| 264 | 1|a[Dartmouth, Nova Scotia] : |bDefence Research and Development Canada = Recherche et développement pour la défense Canada, |c2018. |
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| 264 | 4|c©2017 |
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| 300 | |a1 online resource (24 pages) : |bfigures. |
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| 336 | |atext|btxt|2rdacontent |
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| 337 | |acomputer|bc|2rdamedia |
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| 338 | |aonline resource|bcr|2rdacarrier |
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| 490 | 1 |aContract report ; |vDRDC-RDDC-2017-C244 |
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| 500 | |aCover title. |
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| 500 | |a"May 2018." |
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| 500 | |a"Can unclassified." |
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| 500 | |aPublished in: Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017 IEEE 7th International Workshop on, 10-13 Dec. 2017, Curacao, Netherlands Antilles. |
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| 504 | |aIncludes bibliographical references, pages 23-24. |
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| 520 | |a"Multi-target tracking is an important research topic with applications in numerous domains including air traffic control, computer vision, surveillance, and autonomous vehicles. The objective is to estimate the unknown number of targets and their kinematic states; but non-uniform detection probability, measurement origin uncertainty, false detection and target birth/death are all difficult obstacles to solving the problem"--Introduction, page 1. |
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| 692 | 07|2gccst|aMilitary technology |
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| 693 | 4|aAir traffic control |
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| 693 | 4|aSurveillance |
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| 710 | 2 |aDefence R&D Canada. |bAtlantic Research Centre. |
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| 830 | #0|aContract report (Defence R&D Canada)|vDRDC-RDDC-2017-C244.|w(CaOODSP)9.802312 |
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| 856 | 40|qPDF|s677 KB|uhttps://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-3-244-2017-eng.pdf |
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