GLMB Tracker with Partial Smoothing

In this paper, we introduce a tracking algorithm based on labeled Random Finite Sets (RFS) and Rauch–Tung–Striebel (RTS) smoother via a Generalized Labeled Multi-Bernoulli (GLMB) multi-scan estimator to track multiple objects in a wide range of tracking scenarios. In the forward filtering stage, we...

Descripción completa

Detalles Bibliográficos
Autores principales: Nguyen, Tran Thien Dat, Kim, Du Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832553/
https://www.ncbi.nlm.nih.gov/pubmed/31614812
http://dx.doi.org/10.3390/s19204419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832553/
https://www.ncbi.nlm.nih.gov/pubmed/31614812
http://dx.doi.org/10.3390/s19204419

Ejemplares similares