Live Demonstration: Real-Time Multi-Hand Segmentation on Exhibition

被引：1
|
作者：
Tsai, Tsung-Han [1 ]
Huang, Shih-An [1 ]
机构：
[1] Natl Cent Univ, Dept Elect Engn, Taoyuan, Taiwan
来源：
2021 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | 2021年
关键词：
hand segmentation; skin color; TX2;
D O I：
10.1109/ISCAS51556.2021.9401231
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we proposed a multi-hand segmentation on exhibition. In exhibition there are many objects with similar color such as skin clothes and the decoration close to skin color. First we made a lot of virtual image to make the datasets closed to the exhibition, and combined the palm and back of hand into same picture. Secondly we proposed a robustness neural network call "Unet-Encoder Network (Unet-EN)" to train this datasets. We use pruning method to reduce the parameter and increase the speed. We implemented on NVIDIA (R) Jetson (TM) TX2. As a result, it can be implemented on some skin color space and supported multi-hand segmentation.
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页数：1
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