Name
Title | ||
|---|---|---|
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks. |
Abstract | ||
|---|---|---|
Recognising human actions in untrimmed videos is an important challenging task. An effective three-dimensional (3D) motion representation and a powerful learning model are two key factors influencing recognition performance. In this study, the authors introduce a new skeleton-based representation for 3D action recognition in videos. The key idea of the proposed representation is to transform 3D jo... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-cvi.2018.5014 | IET Computer Vision |
Keywords | DocType | Volume |
feature extraction,gesture recognition,image classification,image colour analysis,image motion analysis,image recognition,image representation,image sequences,learning (artificial intelligence),neural nets,object recognition,video signal processing | Journal | 13 |
Issue | ISSN | Citations |
3 | 1751-9632 | 1 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huy-Hieu Pham | 1 | 1 | 0.68 |
| Louahdi Khoudour | 2 | 117 | 14.20 |
| Alain Crouzil | 3 | 92 | 12.21 |
| Pablo Zegers | 4 | 10 | 2.18 |
| Sergio A. Velastin | 5 | 819 | 58.36 |