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A Circular Detection Driven Adaptive Birth Density for Multi-Object Tracking with Sets of Trajectories

  • Multi-object tracking filters require a birth density to detect new objects from measurement data. If the initial positions of new objects are unknown, it may be useful to choose an adaptive birth density. In this paper, a circular birth density is proposed, which is placed like a band around the surveillance area. This allows for 360° coverage. The birth density is described in polar coordinates and considers all point-symmetric quantities such as radius, radial velocity and tangential velocity of objects entering the surveillance area. Since it is assumed that these quantities are unknown and may vary between different targets, detected trajectories, and in particular their initial states, are used to estimate the distribution of initial states. The adapted birth density is approximated as a Gaussian mixture, so that it can be used for filters operating on Cartesian coordinates.

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Metadaten
Author:Patrick HoherORCiD, Tim BaurORCiD, Johannes ReuterORCiD, Felix GovaersORCiD, Wolfgang Koch
URL:https://ieeexplore.ieee.org/document/9841312
DOI:https://doi.org/10.23919/FUSION49751.2022.9841312
ISBN:978-1-7377497-2-1
ISSN:978-1-6654-8941-6
Parent Title (English):25th International Conference on Information Fusion (FUSION), 04-07 July 2022, Linköping, Sweden
Publisher:IEEE
Document Type:Conference Proceeding
Language:English
Year of Publication:2022
Release Date:2022/09/14
Tag:Multi-object tracking; Adaptive birth density; Sets of trajectories; 360-degree coverage
Page Number:8
Note:
Volltextzugriff für Angehörige der Hochschule Konstanz via Datenbank IEEE Xplore möglich
Institutes:Institut für Systemdynamik - ISD
Relevance:Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband)
Open Access?:Nein
Licence (English):License LogoLizenzbedingungen IEEE