Name
Title | ||
|---|---|---|
Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification. |
Abstract | ||
|---|---|---|
Video-based person re-identification (re-id) has attracted a lot of research interest. When facing dramatic growth in new pedestrian videos, existing video-based person re-id methods usually need large quantities of labeled pedestrian videos to train a discriminative model. In practice, labeling large quantities of pedestrian videos is a costly and time-consuming task, which will limit the applica... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCSVT.2017.2718036 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
Videos,Cameras,Dictionaries,Feature extraction,Training,Computer aided instruction,Labeling | Computer vision,Computer aided instruction,Pedestrian,Dictionary learning,Pattern recognition,Computer science,Coding (social sciences),Feature extraction,Data sequences,Artificial intelligence,Discriminative model | Journal |
Volume | Issue | ISSN |
28 | 10 | 1051-8215 |
Citations | PageRank | References |
7 | 0.43 | 21 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoke Zhu | 1 | 78 | 7.77 |
| Xiao-Yuan Jing | 2 | 769 | 55.18 |
| Liang Yang | 3 | 120 | 42.20 |
| Xinge You | 4 | 1441 | 83.00 |
| Dan Chen | 5 | 41 | 7.53 |
| Guangwei Gao | 6 | 21 | 6.05 |
| Yunhong Wang | 7 | 3816 | 278.50 |