Name
Abstract | ||
|---|---|---|
•A close-to-ideal performance is achieved for gait-based gender classification.•The robust design of the proposed method allows it to work with occluded frames.•Elliptic Fourier descriptors are explored for an alternative feature set.•LDA with Bayes’ rule is taken as an alternative to SVM for classification.•The CASIA-B and TUM-GAID datasets are considered for experimental evaluation. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patrec.2018.04.020 | Pattern Recognition Letters |
Keywords | Field | DocType |
Gender classification,Gait analysis,Linear discriminant analysis,Elliptic Fourier descriptors,Bayes’ rule | Computer vision,Histogram,Soft biometrics,Gait,Pattern recognition,Support vector machine,Artificial intelligence,Gait (human),Linear discriminant analysis,Biometrics,Mathematics,Bayes' theorem | Journal |
Volume | ISSN | Citations |
126 | 0167-8655 | 1 |
PageRank | References | Authors |
0.35 | 34 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ebenezer R. H. P. Isaac | 1 | 2 | 0.70 |
| Susan Elias | 2 | 29 | 5.24 |
| s p rajagopalan | 3 | 8 | 2.13 |
| K. S. Easwarakumar | 4 | 50 | 12.94 |