A Solution for Large-Scale Multi-Object Tracking

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A Solution for Large-Scale Multi-Object Tracking

A large-scale multi-object tracker based on the generalised labeled multi-Bernoulli (GLMB) filter is proposed. The algorithm is capable of tracking a very large, unknown and time-varying number of objects simultaneously, in the presence of a high number of false alarms, as well as missed detections...

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Bibliographic Details
Main Authors:	Beard, Michael, Vo, Ba Tuong, Vo, Ba-Ngu
Format:	Journal Article
Language:	English
Published:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2020
Subjects:	Science & Technology Technology Engineering, Electrical & Electronic Engineering Radio frequency Target tracking Signal processing algorithms Approximation algorithms Trajectory Random finite sets generalised labeled multi-Bernoulli multi-object tracking large-scale tracking OSPA RANDOM FINITE SETS MULTITARGET TRACKING PERFORMANCE EVALUATION DISTRIBUTED FUSION BERNOULLI FILTER ALGORITHMS
Online Access:	http://purl.org/au-research/grants/arc/DP160104662 http://hdl.handle.net/20.500.11937/90795

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