Name
Abstract | ||
|---|---|---|
•A new representation is proposed for person identification and action recognition using Depth video information and correlation coefficient of motion sequences.•Using correlation coefficient to generate templates that adaptable according to the completion time of movements was achieved better results.•The experimental results of proposed method are compared with previous studies successful results are obtained.•Proposed method, prevents time loss by avoiding empirical methods to find out which highlighted TT is more appropriate for which action. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.patcog.2022.108621 | Pattern Recognition |
Keywords | DocType | Volume |
Motion recognition,Human recognition,Correlation coefficients,Deep learning,Behavioral biometrics | Journal | 127 |
ISSN | Citations | PageRank |
0031-3203 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Onur Can Kurban | 1 | 1 | 1.72 |
| Calik, Nurullah | 2 | 2 | 2.42 |
| Tulay Yildirim | 3 | 49 | 14.25 |