Abstract | ||
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Person re-identification (ReID) aims to associate the identity of pedestrians captured by cameras across non-overlapped areas. Video-based ReID plays an important role in intelligent video surveillance systems and has attracted growing attention in recent years. In this paper, we propose an end-to-end video-based ReID framework based on the convolutional neural network (CNN) for efficient spatio-t... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TCSVT.2018.2883995 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
Feature extraction,Legged locomotion,Semantics,Optical computing,Optical imaging,Visualization,Recurrent neural networks | Computer vision,Computer science,Artificial intelligence,Hierarchical INTegration | Journal |
Volume | Issue | ISSN |
29 | 12 | 1051-8215 |
Citations | PageRank | References |
6 | 0.45 | 44 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
zheng liu | 1 | 267 | 21.86 |
Yunhong Wang | 2 | 3816 | 278.50 |
Annan Li | 3 | 222 | 14.22 |