TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Hoher, Patrick
A1  - Baur, Tim
A1  - Reuter, Johannes
A1  - Govaers, Felix
A1  - Koch, Wolfgang
T1  - A Circular Detection Driven Adaptive Birth Density for Multi-Object Tracking with Sets of Trajectories
T2  - 25th International Conference on Information Fusion (FUSION), 04-07 July 2022, Linköping, Sweden
N2  - 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.
KW  - Multi-object tracking
KW  - Adaptive birth density
KW  - Sets of trajectories
KW  - 360-degree coverage
Y1  - 2022
UR  - https://ieeexplore.ieee.org/document/9841312
SN  - 978-1-6654-8941-6
SS  - 978-1-6654-8941-6
SN  - 978-1-7377497-2-1
SB  - 978-1-7377497-2-1
U6  - https://doi.org/10.23919/FUSION49751.2022.9841312
DO  - https://doi.org/10.23919/FUSION49751.2022.9841312
N1  - Volltextzugriff für Angehörige der Hochschule Konstanz via Datenbank IEEE Xplore möglich
SP  - 8
S1  - 8
PB  - IEEE
ER  -