GL-PAM RGB-D Gesture Recognition
| Autor: | Benchao Li, Jian-Fang Hu, Yongyi Tang, Wanhua Li, Wei-Shi Zheng |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Computer science Feature extraction Context (language use) 02 engineering and technology 010501 environmental sciences 01 natural sciences Motion (physics) Gesture recognition Robustness (computer science) 0202 electrical engineering electronic engineering information engineering RGB color model 020201 artificial intelligence & image processing Computer vision Artificial intelligence business 0105 earth and related environmental sciences Complement (set theory) Gesture |
| Zdroj: | ICIP |
| DOI: | 10.1109/icip.2018.8451157 |
| Popis: | The existing approaches for RGB-D gesture recognition mainly developed their systems based on the global features extracted from full sequences, which makes them unreliable for capturing some important movements. In this paper, we propose to combine the global and local context information extracted from posture, appearance, and motion sequences. Our experimental results on a large scale RGB-D gesture dataset show that the proposed global and local contexts can complement well with each other for efficiently characterizing gestures, and thus achieve the 2nd place in the ChaLearn LAP Large-scale Isolated Gesture Recognition Challenge (Round 2). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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