Name
Abstract | ||
|---|---|---|
Human detection has received great attention during the past few decades, which is yet still a challenging problem. In this paper, we focus on the problem of 3-D human detection, i.e., finding the human bodies and determining their 3-D coordinates in complex 3-D space using depth data only. Since the traditional sliding-window-based approaches for target localization are time-consuming and the rec... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMM.2018.2803526 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Three-dimensional displays,Feature extraction,Detectors,Machine learning,Proposals,Cameras,Object detection | Computer vision,Object detection,Pattern recognition,Computer science,Communication channel,Feature extraction,Artificial intelligence,Depth map,Artificial neural network,Detector,Encoding (memory) | Journal |
Volume | Issue | ISSN |
20 | 9 | 1520-9210 |
Citations | PageRank | References |
3 | 0.44 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luchao Tian | 1 | 8 | 1.19 |
| Mingchen Li | 2 | 3 | 0.44 |
| Yu Hao | 3 | 8 | 4.24 |
| Jun Liu | 4 | 671 | 30.44 |
| Guyue Zhang | 5 | 42 | 3.15 |
| Yan Qiu Chen | 6 | 460 | 53.35 |