| Autor: |
Zorana Doždor, Tomislav Hrkać, Zoran Kalafatić |
| Přispěvatelé: |
Radeva, Petia, Farinella, Giovanni Maria, Bouatouch, Kadi |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Popis: |
Hand gesture recognition from skeleton data has recently gained popularity due to the broad areas of application and availability of adequate input devices. However, before utilising this technology in real-world conditions there are still many challenges left to overcome. A major challenge is robust gesture localization – estimating the beginning and the end of a gesture in online conditions. We propose an online gesture detection system based on two models – one for gesture localization and the other for gesture classification. This approach is tested and compared against the one-model approach, often found in literature. The system is evaluated on the recent SHREC challenge which offers datasets for online gesture detection. Results show the benefits of distributing the tasks of localization and recognition instead of using one model for both tasks. The proposed system obtains state-of- the-art results on SHREC gesture detection dataset. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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