Name
Title | ||
|---|---|---|
A novel all-neighbor fuzzy association approach for multitarget tracking in a cluttered environment |
Abstract | ||
|---|---|---|
This paper proposes a novel all-neighbor fuzzy association approach for multitarget tracking in a cluttered environment. It performs data association with a little prior knowledge and updates the predicted target state estimate using a fuzzy weighted sum of innovations. Unlike the joint probabilistic data association filter, in which the similarity measures are determined in terms of the conditional probability for all feasible data association hypothesis, the proposed fuzzy association approach determines the similarity measures between measurements and tracks in terms of possibility weights based on a partition matrix. The possibility weights are determined according to the fuzzy clustering algorithm. The proposed approach is able to perform all-neighbor association with a lower computational complexity in the expense of a little lower performance compared to the standard joint probabilistic data association filter. Computer simulation shows the feasibility and the efficiency of the proposed all-neighbor fuzzy association approach. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.sigpro.2011.03.007 | Signal Processing |
Keywords | Field | DocType |
proposed fuzzy association approach,multitarget tracking,novel all-neighbor fuzzy association,data association,tracking in a clutter,feasible data association hypothesis,joint probabilistic data association,maneuvering targets,all-neighbor association,association filter,proposed all-neighbor fuzzy association,possibility weight,similarity measure,cluttered environment,fuzzy clustering,computational complexity,conditional probability,computer simulation,joint probabilistic data association filter | Fuzzy clustering,Data mining,Similitude,Conditional probability,Joint Probabilistic Data Association Filter,Clutter,Fuzzy logic,Sensor fusion,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
91 | 8 | Signal Processing |
Citations | PageRank | References |
11 | 0.92 | 9 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashraf M. Aziz | 1 | 98 | 8.72 |