Title
Multi-feature sparse similar representation for person identification
Abstract
•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
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 Yang1187657.14
Lei Liao200.68
Kangyin Ke300.34
Guangwei Gao421.39