Abstract | ||
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•The discriminative body appearance feature is designed by reconstructing different spatial features with their spatial correlation and jointly combining all spatial representations.•l1-norm weighted distance is adopted in our multi-feature representation model, which is more robust than the conventional l2-norm regularization.•Competitive results have been achieved by our proposed model in addressing the multi-feature person identification problem. |
Year | DOI | Venue |
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2022 | 10.1016/j.patcog.2022.108916 | Pattern Recognition |
Keywords | DocType | Volume |
Multi-feature,Person identification,Sparse representation | Journal | 132 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Meng Yang | 1 | 1876 | 57.14 |
Lei Liao | 2 | 0 | 0.68 |
Kangyin Ke | 3 | 0 | 0.34 |
Guangwei Gao | 4 | 2 | 1.39 |