Name
Title | ||
|---|---|---|
Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification. |
Abstract | ||
|---|---|---|
Video-based pedestrian reidentification is an emerging task in video surveillance and is closely related to several real-world applications. Its goal is to match pedestrians across multiple nonoverlapping network cameras. Despite the recent effort, the performance of pedestrian reidentification needs further improvement. Hence, we propose a novel two-stream multirate recurrent neural network for v... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TII.2017.2767557 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Feature extraction,Measurement,Informatics,Recurrent neural networks,Cameras,Electronic mail,Video sequences | Informatics,Pedestrian,Feature correlation,Computer science,Recurrent neural network,Exploit,Feature extraction,Real-time computing,Time delay neural network,Artificial intelligence,Machine learning,Deep neural networks | Journal |
Volume | Issue | ISSN |
14 | 7 | 1551-3203 |
Citations | PageRank | References |
14 | 0.62 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiqiang Zeng | 1 | 139 | 16.35 |
| Zhihui Li | 2 | 252 | 16.39 |
| De Cheng | 3 | 70 | 7.97 |
| Huaxiang Zhang | 4 | 436 | 56.32 |
| Kun Zhan | 5 | 294 | 17.38 |
| Yi Yang | 6 | 6873 | 271.72 |