Name
Abstract | ||
|---|---|---|
Answering the challenge of leveraging computer vision methods in order to enhance Human Robot Interaction (HRI) experience, this work explores methods that can expand the capabilities of an action recognition system in such tasks. A multi-view action recognition system is proposed for integration in HRI scenarios with special users, such as children, in which there is limited data for training and many state-of-the-art techniques face difficulties. Different feature extraction approaches, encoding methods and fusion techniques are combined and tested in order to create an efficient system that recognizes children pantomime actions. This effort culminates in the integration of a robotic platform and is evaluated under an alluring Children Robot Interaction scenario. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICIP.2018.8451146 | 2018 25th IEEE International Conference on Image Processing (ICIP) |
Keywords | Field | DocType |
multi-view fusion,action recognition,child-robot interaction | Computer vision,Computer science,Action recognition,Support vector machine,Sensor fusion,Feature extraction,Human–computer interaction,Artificial intelligence,Robot,Human–robot interaction,Encoding (memory) | Conference |
ISBN | Citations | PageRank |
978-1-4799-7062-9 | 1 | 0.35 |
References | Authors | |
12 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Efthymiou, N. | 1 | 7 | 3.18 |
| Petros Koutras | 2 | 16 | 6.35 |
| Panagiotis Paraskevas Filntisis | 3 | 4 | 3.92 |
| Gerasimos Potamianos | 4 | 1113 | 113.80 |
| Petros Maragos | 5 | 3733 | 591.97 |