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

SM Ata-ur-Rehman; L Naqvi; JA Mihaylova; Chambers

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

SM Ata-ur-Rehman, L Naqvi, JA Mihaylova and Chambers

2013 16TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), pp.1730-1735

16th International Conference on Information Fusion (FUSION) (Istanbul, TURKEY, 09/07/2013 - 12/07/2013)

01/01/2013

Abstract

Science & Technology

Technology

Computer Science

Theory & Methods

Engineering

Electrical & Electronic

Computer Science

Engineering

variational Bayesian approach

clustering

data association

JPDAF multi-target tracking

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Title: Clustering and a Joint Probabilistic Data Association Filter for Dealing with Occlusions in Multi-target Tracking
Creators: SM Ata-ur-Rehman
L Naqvi
JA Mihaylova
Chambers
Contributors: IEEE (Publisher)
Publication Details: 2013 16TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), pp.1730-1735
Conference: 16th International Conference on Information Fusion (FUSION) (Istanbul, TURKEY, 09/07/2013 - 12/07/2013)
Date published: 01/01/2013
Date submitted: 17/05/2017
Identifiers: 99516779102346
Academic Unit: University of Surrey
Resource Type: Conference presentation

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

Abstract

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