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Article

A Detection and Tracking Algorithm for Resolvable Group with Structural and Formation Changes Using the Gibbs-GLMB Filter

College of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
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Author to whom correspondence should be addressed.
Sensors 2020, 20(12), 3384; https://doi.org/10.3390/s20123384
Received: 25 May 2020 / Revised: 12 June 2020 / Accepted: 12 June 2020 / Published: 15 June 2020
(This article belongs to the Special Issue Remote Sensing in Vessel Detection and Navigation)
In the field of resolvable group target tracking, further study on the structure and formation of group targets is helpful to reduce the tracking error of group bluetargets. In this paper, we propose an algorithm to detect whether the structure or formation state of group targets changes. In this paper, a Gibbs Generalized Labeled Multi-Bernoulli (GLMB) filter is used to obtain the estimation of discernible group target bluestates. After obtaining the state estimation of the group target, we extract relevant information based on the estimation data to judge whether the structure or formation state has changed. Finally, several experiments are carried out to verify the algorithm. View Full-Text
Keywords: target tracking; group targets; GLMB; structure; formation target tracking; group targets; GLMB; structure; formation
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MDPI and ACS Style

Ru, X.; Chi, Y.; Liu, W. A Detection and Tracking Algorithm for Resolvable Group with Structural and Formation Changes Using the Gibbs-GLMB Filter. Sensors 2020, 20, 3384. https://doi.org/10.3390/s20123384

AMA Style

Ru X, Chi Y, Liu W. A Detection and Tracking Algorithm for Resolvable Group with Structural and Formation Changes Using the Gibbs-GLMB Filter. Sensors. 2020; 20(12):3384. https://doi.org/10.3390/s20123384

Chicago/Turabian Style

Ru, Xinfeng, Yudong Chi, and Weifeng Liu. 2020. "A Detection and Tracking Algorithm for Resolvable Group with Structural and Formation Changes Using the Gibbs-GLMB Filter" Sensors 20, no. 12: 3384. https://doi.org/10.3390/s20123384

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