Talks and Poster Presentations (with Proceedings-Entry):
F. Meyer, P. Braca, P. Willett, F. Hlawatsch:
"Tracking an Unknown Number of Targets Using Multiple Sensors: A Belief Propagation Method";
Talk: International Conference on Information Fusion,
- 07-08-2016; in: "FUSION-2016",
We propose a multisensor method for tracking an unknown number of targets. Low computational complexity and very good scalability in the number of targets, number of sensors, and number of measurements per sensor are achieved by running a belief propagation (BP) message passing scheme on a suitably devised factor graph. Using a redundant formulation of data association uncertainty and "augmented target states" including target indicators allows the proposed BP method to leverage statistical independencies for a drastic reduction of complexity. The proposed method is shown to outperform previously proposed multisensor methods for multitarget tracking, including methods with a less favorable scaling behavior.
Multitarget tracking, data association, belief propagation, message passing, factor graph, sensor network.
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.