Name
Title | ||
|---|---|---|
A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences |
Abstract | ||
|---|---|---|
The interest in action and gesture recognition has grown considerably in the last years. In this paper, we present a survey on current deep learning methodologies for action and gesture recognition in image sequences. We introduce a taxonomy that summarizes important aspects of deep learning for approaching both tasks. We review the details of the proposed architectures, fusion strategies, main datasets, and competitions. We summarize and discuss the main works proposed so far with particular interest on how they treat the temporal dimension of data, discussing their main features and identify opportunities and challenges for future research. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/FG.2017.150 | 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017) |
Keywords | Field | DocType |
deep learning based approaches,action recognition,gesture recognition,image sequences,fusion strategies | Computer science,Gesture recognition,Artificial intelligence,Deep learning,Machine learning | Conference |
ISSN | ISBN | Citations |
2326-5396 | 978-1-5090-4024-7 | 23 |
PageRank | References | Authors |
0.69 | 85 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maryam Asadi-Aghbolaghi | 1 | 36 | 5.28 |
| Albert Clapés | 2 | 76 | 6.66 |
| Marco Bellantonio | 3 | 23 | 0.69 |
| Hugo Jair Escalante | 4 | 939 | 73.89 |
| Víctor Ponce-López | 5 | 132 | 7.10 |
| Xavier Baró | 6 | 474 | 33.99 |
| Isabelle Guyon | 7 | 11033 | 1544.34 |
| Shohreh Kasaei | 8 | 36 | 6.06 |
| Sergio Escalera | 9 | 1415 | 113.31 |