Name
Abstract | ||
|---|---|---|
In this paper the so called mixed labeling problem inherent, or at least thought to be inherent to a joint state multi target particle filter implementation is treated. The mixed labeling problem would be prohibitive for track extraction from a joint state multi target particle filter. It is shown and proven using the theory of Markov chains, that the mixed labeling problem is inherently self-resolving in a particle filter. It is also shown that the factors influencing this capability are the number of particles and the number of resampling steps. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICIF.2007.4408005 | Quebec, Que. |
Keywords | Field | DocType |
Markov processes,particle filtering (numerical methods),target tracking,Markov chains,mixed labeling problem,multi target particle filtering,track extraction,Markov Processes,Multi Target Tracking,Particle Filters | Particle number,Computer vision,Markov process,Multi target tracking,Computer science,Particle filter,Markov chain,Artificial intelligence,Resampling,Labeling Problem | Conference |
ISBN | Citations | PageRank |
978-0-662-45804-3 | 13 | 2.04 |
References | Authors | |
2 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Y. Boers | 1 | 135 | 18.13 |
| Hans Driessen | 2 | 59 | 7.31 |