Paper Info
Title
Multi-level semantic appearance representation for person re-identification system.
Abstract
•A novel Multi-Level Semantic Appearance Representation for person re-identification is proposed.•We combine the low-level and mid-level representations for appearance modelling.•A score fusion based on the weighted sum is adopted.•Promissing re-identification performance on challenging dataset.
Year
DOI
Venue
2018
10.1016/j.patrec.2017.09.039
Pattern Recognition Letters
Keywords
Field
DocType
Video surveillance,Person re-identification,Multi-Level semantic appearance representation
Computer vision,Disjoint sets,Pattern recognition,Computer science,Identification system,Artificial intelligence,Appearance modeling,Fuse (electrical),Benchmarking,Salient,Computational complexity theory
Journal
Volume
ISSN
Citations 
115
0167-8655
0
PageRank 
References 
Authors
0.34
23
3
Name
Order
Citations
PageRank
Emna Fendri1127.28
Mayssa Frikha242.43
Mohamed Hammami318130.54