Diver’s hand gesture recognition and segmentation for human–robot interaction on AUV
| Autor: | Yu Jiang, Fenglin Wei, Minghao Zhao, Hong Qi, Chong Wang, Kai Wang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Cognitive neuroscience of visual object recognition 020206 networking & telecommunications 02 engineering and technology Human–robot interaction Visualization Gesture recognition Signal Processing 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing Segmentation Computer vision Artificial intelligence Electrical and Electronic Engineering business Generative grammar Gesture |
| Zdroj: | Signal, Image and Video Processing. 15:1899-1906 |
| ISSN: | 1863-1711 1863-1703 |
| Popis: | For the interaction between marine robots and divers in the underwater environment, a method of diver’s gesture recognition and segmentation is proposed. This method first uses the progressive growing training method to optimize the generative adversarial networks, generating high-resolution images with complex content. Then, we use the generative adversarial network model as a data augmentation method and generate high-resolution images. We make the masks of gestures in the new dataset and use the mask R-CNN algorithm for gesture recognition and gesture segmentation. The experimental results show that the generating data improves the accuracy of several object recognition algorithms but cannot completely replace the original data and the mean average precision of gesture recognition is 0.85. The visualization shows the validity and weakness of segmentation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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