TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Hoher, Patrick
A1  - Reuter, Johannes
A1  - Govaers, Felix
A1  - Koch, Wolfgang
T1  - Joint Parameter Estimation and Trajectory Tracking of Bounding Boxes
T2  - 24rd International Conference on Information Fusion (FUSION), 1-4 Nov 2021,  Sun City Convention Centre Rustenburg, South Africa
N2  - In multi-extended object tracking, parameters (e.g., extent) and trajectory are often determined independently. In this paper, we propose a joint parameter and trajectory (JPT) state and its integration into the Bayesian framework. This allows processing measurements that contain information about parameters and states. Examples of such measurements are bounding boxes given from an image processing algorithm. It is shown that this approach can consider correlations between states and parameters. In this paper, we present the JPT Bernoulli filter. Since parameters and state elements are considered in the weighting of the measurement data assignment hypotheses, the performance is higher than with the conventional Bernoulli filter. The JPT approach can be also used for other Bayes filters.
KW  - Multi extended object tracking
KW  - Bernoulli filter
KW  - Sets of trajectories
KW  - Bounding boxes
Y1  - 2021
UR  - https://ieeexplore.ieee.org/document/9626855
SN  - 978-1-7377497-1-4
SB  - 978-1-7377497-1-4
N1  - Volltextzugriff für Angehörige der Hochschule Konstanz via Datenbank IEEE Xplore möglich
SP  - 8
S1  - 8
PB  - IEEE
ER  -