Name
Title | ||
|---|---|---|
Efficient particle filtering for multiple target tracking with application to tracking in structured images |
Abstract | ||
|---|---|---|
For many dynamic estimation problems involving nonlinear and/or non-Gaussian models, particle filtering offers improved performance at the expense of computational effort. This paper describes a scheme for efficiently tracking multiple targets using particle filters. The tracking of the individual targets is made efficient through the use of Rao-Blackwellisation. The tracking of multiple targets is made practicable using Quasi-Monte Carlo integration. The efficiency of the approach is illustrated on synthetic data. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/S0262-8856(03)00087-8 | Image and Vision Computing |
Keywords | DocType | Volume |
Tracking,Particle Filtering,Rao Blackwellisation,Monte Carlo Integration,Structured Images | Journal | 21 |
Issue | ISSN | Citations |
10 | 0262-8856 | 13 |
PageRank | References | Authors |
1.38 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simon Maskell | 1 | 119 | 16.36 |
| malcolm p rollason | 2 | 13 | 1.38 |
| Neil J. Gordon | 3 | 175 | 13.61 |
| david j salmond | 4 | 13 | 1.38 |