Name
Abstract | ||
|---|---|---|
Template-based model-free approach provides by far the most successful solution to the gait recognition problem in literature. Recent work discusses how isolating the head and leg portion of the template increase the performance of a gait recognition system making it robust against covariates like clothing and carrying conditions. However, most involve a manual definition of the boundaries. The me... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LSP.2017.2715179 | IEEE Signal Processing Letters |
Keywords | DocType | Volume |
Gait recognition,Genetic algorithms,Feature extraction,Clothing,Legged locomotion,Biological cells,Genetics | Journal | 24 |
Issue | ISSN | Citations |
8 | 1070-9908 | 6 |
PageRank | References | Authors |
0.41 | 25 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ebenezer Isaac | 1 | 6 | 0.41 |
| Susan Elias | 2 | 29 | 5.24 |
| s p rajagopalan | 3 | 8 | 2.13 |
| K. S. Easwarakumar | 4 | 50 | 12.94 |