Occlusion gesture recognition based on improved SSD-Reference-Cited by-同舟云学术

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Occlusion gesture recognition based on improved SSD

Published:2020-10-19 Issue:6 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Liao Shangchun¹^ORCID,Li Gongfa¹²,Wu Hao¹³,Jiang Du¹³,Liu Ying¹,Yun Juntong¹³,Liu Yibo¹,Zhou Dalin⁴

Affiliation:

1. Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Wuhan China

2. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Wuhan China

3. Research Center for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Wuhan China

4. School of Computing University of Portsmouth Portsmouth UK

Funder

Hubei Provincial Department of Education

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6063

Reference63 articles.

1. Three‐dicmensional integral imaging for gesture recognition under occlusions;Traver VJ;IEEE Signal Process Lett,2016

2. KuznetsovaA Leal‐TaixéL RosenhahnB.Real‐time sign language recognition using a consumer depth camera. Paper presented at: International Conference on Computer Vision Workshops; 2013: IEEE:83‐90.

3. Human‐computer interaction based on visual hand‐gesture recognition using volumetric spatiograms of local binary patterns;Maqueda AI;Comput Vis Image Understand,2015

4. A robust static hand gesture recognition system using geometry based normalizations and Krawtchouk moments

5. Shape matching and object recognition using shape contexts

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