Name
Abstract | ||
|---|---|---|
•A novel method is proposed to identify people walking on curved trajectories.•Virtual images are synthesized adaptively from a 4D gait database.•Gait information is analyzed by a method using affine moment invariants.•The proposed method is robust to the change of the direction of the velocity vector.•Performance is improved by a voting-based person identification method. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.patrec.2014.04.004 | Pattern Recognition Letters |
Keywords | Field | DocType |
Gait,Person identification,Affine moment invariants,Curved trajectories | Affine transformation,Virtual image,Position (vector),Signal processing,Computer vision,Pattern recognition,Gait,Gait analysis,Software,Invariant (mathematics),Artificial intelligence,Mathematics | Journal |
Volume | ISSN | Citations |
48 | 0167-8655 | 14 |
PageRank | References | Authors |
0.60 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yumi Iwashita | 1 | 212 | 23.59 |
| Koichi Ogawara | 2 | 163 | 20.41 |
| Ryo Kurazume | 3 | 622 | 74.18 |