A Solution for Large-Scale Multi-Object Tracking

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

Internet

http://purl.org/au-research/grants/arc/DP160104662
http://hdl.handle.net/20.500.11937/90795

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