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Clustering and a Joint Probabilistic Data Association Filter for Dealing with Occlusions in Multi-target Tracking

Ata-ur-Rehman, , Naqvi, SM, Mihaylova, L and Chambers, JA (2013) Clustering and a Joint Probabilistic Data Association Filter for Dealing with Occlusions in Multi-target Tracking In: 16th International Conference on Information Fusion (FUSION), 2013-07-09 - 2013-07-12, Istanbul, TURKEY.

Full text not available from this repository.
Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Ata-ur-Rehman, UNSPECIFIEDUNSPECIFIED
Naqvi, SMUNSPECIFIEDUNSPECIFIED
Mihaylova, LUNSPECIFIEDUNSPECIFIED
Chambers, JAj.a.chambers@surrey.ac.ukUNSPECIFIED
Date : 1 January 2013
Contributors :
ContributionNameEmailORCID
publisherIEEE, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Theory & Methods, Engineering, Electrical & Electronic, Computer Science, Engineering, variational Bayesian approach, clustering, data association, JPDAF multi-target tracking
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:24
Last Modified : 17 May 2017 13:24
URI: http://epubs.surrey.ac.uk/id/eprint/839070

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