Tracking Split Group with δ-Generalized Labeled Multi-Bernoulli Filter
Joint Authors
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-19
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
As target splitting is not considered in the initial development of δ-generalized labeled multi-Bernoulli (δ-GLMB) filter, the scenarios where the new targets appearing conditioned on the preexisting one are not readily addressed by this filter.
In view of this, we model the group target as gamma Gaussian inverse Wishart (GGIW) distribution and derive a δ-GLMB filter based on the group splitting model, in which the target splitting event is investigated.
Two simplifications of the approach are presented to improve the computing efficiency, where with splitting detection, we need not to predict the splitting events of all the GGIW components in every iteration.
With component combination applied in adaptive birth, a redundant modeling for a newborn target or preexisting target could be avoided.
Moreover, a method for labeling performance evaluation of the algorithm is provided.
Simulations demonstrate the effectiveness of the proposed approach.
American Psychological Association (APA)
Gan, Linhai& Wang, Gang. 2019. Tracking Split Group with δ-Generalized Labeled Multi-Bernoulli Filter. Journal of Sensors،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1191818
Modern Language Association (MLA)
Gan, Linhai& Wang, Gang. Tracking Split Group with δ-Generalized Labeled Multi-Bernoulli Filter. Journal of Sensors No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1191818
American Medical Association (AMA)
Gan, Linhai& Wang, Gang. Tracking Split Group with δ-Generalized Labeled Multi-Bernoulli Filter. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1191818
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191818