HGR‐Net: a fusion network for hand gesture segmentation and recognition
We propose a two‐stage convolutional neural network (CNN) architecture for robust recognition of hand gestures, called HGR‐Net, where the first stage performs accurate semantic segmentation to determine hand regions, and the second stage identifies the gesture. The segmentation stage architecture is...
Main Authors: | Amirhossein Dadashzadeh, Alireza Tavakoli Targhi, Maryam Tahmasbi, Majid Mirmehdi |
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Format: | Article |
Language: | English |
Published: |
Wiley
2019-12-01
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Series: | IET Computer Vision |
Subjects: | |
Online Access: | https://doi.org/10.1049/iet-cvi.2018.5796 |
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