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.

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Item Type:	Conference or Workshop Item (UNSPECIFIED)
Authors :	Name Email ORCID Ata-ur-Rehman, UNSPECIFIED UNSPECIFIED Naqvi, SM UNSPECIFIED UNSPECIFIED Mihaylova, L UNSPECIFIED UNSPECIFIED Chambers, JA j.a.chambers@surrey.ac.uk UNSPECIFIED
Date :	1 January 2013
Contributors :	Contribution Name Email ORCID publisher IEEE, UNSPECIFIED UNSPECIFIED
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 :	Author
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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