Live demonstration: Real-time multi-hand segmentation on exhibition

Tsung Han Tsai, Shih An Huang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

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® Jetson™ TX2. As a result, it can be implemented on some skin color space and supported multi-hand segmentation.

原文???core.languages.en_GB???
主出版物標題2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728192017
DOIs
出版狀態已出版 - 2021
事件53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Daegu, Korea, Republic of
持續時間: 22 5月 202128 5月 2021

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
2021-May
ISSN(列印)0271-4310

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???event.eventtypes.event.conference???53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021
國家/地區Korea, Republic of
城市Daegu
期間22/05/2128/05/21

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