Name
Title | ||
|---|---|---|
Multi-prototype fuzzy clustering with fuzzy K-nearest neighbor for off-line human action recognition. |
Abstract | ||
|---|---|---|
Fall detection of elderly in home environment is an important research area. The fall detection is a part of the human action recognition. In this paper, a human action detection using the fuzzy clustering algorithm with the fuzzy K-nearest neighbor from view-invariant human motion analysis is implemented. In particular, the Hu moment invariant features are computed. Then principal component analysis is utilized to select the principal components. The fuzzy clustering algorithm ( either fuzzy C-means, Gustafson and Kessel, or Gath and Geva) is implemented on each class to select the prototypes representing the class. From the results, we found that the best classification rate on the validation set is around 99.33% to 100%, and the classification rate on the blind test data set is around 90%. We also compare the result from fuzzy K-nearest neighbor with that from K-nearest neighbor. The fuzzy K-nearest neighbor result is better as expected. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/FUZZ-IEEE.2013.6622542 | FUZZ-IEEE |
Keywords | Field | DocType |
fuzzy set theory,home computing,image motion analysis,image recognition,pattern clustering,principal component analysis,Gath algorithm,Geva algorithm,Gustafson algorithm,Hu moment invariant features,Kessel algorithm,fall detection,fuzzy C-means algorithm,fuzzy K-nearest neighbor,fuzzy clustering algorithm,home environment,human action detection,multiprototype fuzzy clustering,off-line human action recognition,principal component analysis,view-invariant human motion analysis,Fall detection,Fuzzy C-means,Fuzzy K-nearest neighbor,Gath and Geva clustering,Gustafson and Kessel clustering,Hu moment invariants | Fuzzy clustering,Data mining,Fuzzy classification,Computer science,Fuzzy set,Artificial intelligence,FLAME clustering,Cluster analysis,Canopy clustering algorithm,Pattern recognition,Fuzzy logic,Machine learning,Principal component analysis | Conference |
ISSN | Citations | PageRank |
1098-7584 | 1 | 0.37 |
References | Authors | |
38 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ritipong Wongkhuenkaew | 1 | 1 | 0.37 |
| S. Auephanwiriyakul | 2 | 246 | 39.45 |
| Nipon Theera-umpon | 3 | 184 | 30.59 |