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MEYER, F. BRACA, P. WILLETT, P. HLAWATSCH, F.
Original Title
A Scalable Algorithm for Tracking an Unknown Number of Targets Using Multiple Sensors
Type
journal article in Web of Science
Language
English
Original Abstract
We propose an algorithm for tracking an unknown number of targets based on measurements provided by multiple sensors. Our algorithm achieves lowcomputational complexity and excellent scalability by running belief propagation on a suitably devised factor graph. A redundant formulation of data association uncertainty and the use of "augmented target states" including binary target indicators make it possible to exploit statistical independencies for a drastic reduction of complexity. An increase in the number of targets, sensors, or measurements leads to additional variable nodes in the factor graph but not to higher dimensions of the messages. As a consequence, the complexity of our method scales only quadratically in the number of targets, linearly in the number of sensors, and linearly in the number of measurements per sensor. The performance of the method compares well with that of previously proposed methods, including methods with a less favorable scaling behavior. In particular, our method can outperform multisensor versions of the probability hypothesis density (PHD) filter, the cardinalized PHD filter, and the multi-Bernoulli filter.
Keywords
Multitarget tracking; data association; belief propagation; message passing; factor graph; sensor network
Authors
MEYER, F.; BRACA, P.; WILLETT, P.; HLAWATSCH, F.
Released
29. 3. 2017
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Location
PISCATAWAY
ISBN
1941-0476
Periodical
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Year of study
65
Number
13
State
United States of America
Pages from
3478
Pages to
3493
Pages count
16
URL
https://ieeexplore.ieee.org/document/7889057
BibTex
@article{BUT170643, author="MEYER, F. and BRACA, P. and WILLETT, P. and HLAWATSCH, F.", title="A Scalable Algorithm for Tracking an Unknown Number of Targets Using Multiple Sensors", journal="IEEE TRANSACTIONS ON SIGNAL PROCESSING", year="2017", volume="65", number="13", pages="3478--3493", doi="10.1109/TSP.2017.2688966", issn="1941-0476", url="https://ieeexplore.ieee.org/document/7889057" }