Name
Abstract | ||
|---|---|---|
This paper presents an exact Bayesian filtering solution for the multiobject tracking problem with the generic observation model. The proposed solution is designed in the labeled random finite set framework, using the product styled representation of labeled multiobject densities, with the standard multiobject transition kernel and no particular simplifying assumptions on the multiobject likelihoo... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSP.2017.2764864 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Radio frequency,Radar tracking,Standards,Mathematical model,Computational modeling,Kernel,Computational efficiency | Kernel (linear algebra),Mathematical optimization,Finite set,Radar tracker,Algorithm,Theoretical computer science,Marked point process,Bayesian filtering,Mathematics | Journal |
Volume | Issue | ISSN |
66 | 2 | 1053-587X |
Citations | PageRank | References |
5 | 0.42 | 24 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| suqi li | 1 | 37 | 3.92 |
| Wei Yi | 2 | 252 | 36.97 |
| Reza Hoseinnezhad | 3 | 431 | 43.15 |
| bailu wang | 4 | 37 | 3.92 |
| Lingjiang Kong | 5 | 34 | 9.97 |