Abstract | ||
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Gait recognition has attracted growing attention in recent years, as the gait of humans has a strong discriminative ability even under low resolution at a distance. Unfortunately, the performance of gait recognition can be largely affected by view change. To address this problem, we propose a coupled patch alignment (CPA) algorithm that effectively matches a pair of gaits across different views. T... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TIP.2019.2894362 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Gait recognition,Cameras,Three-dimensional displays,Feature extraction,Optimization,Probes,Clothing | Computer vision,Gait,Pattern recognition,Canonical correlation,Feature extraction,Compact space,Artificial intelligence,Discriminative model,Mathematics | Journal |
Volume | Issue | ISSN |
28 | 6 | 1057-7149 |
Citations | PageRank | References |
3 | 0.38 | 20 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xianye Ben | 1 | 131 | 10.56 |
Chen Gong | 2 | 37 | 6.76 |
Peng Zhang | 3 | 18 | 2.34 |
Xitong Jia | 4 | 3 | 0.38 |
Qiang Wu | 5 | 304 | 40.42 |
Wei-Xiao Meng | 6 | 151 | 32.05 |