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Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model

  • Published:2019-03 Issue: Volume:119 Page:187-194
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Li Yunan,Miao Qiguang,Tian KuanORCID,Fan Yingying,Xu Xin,Ma Zhenxin,Song Jianfeng

Funder

National Natural Science Foundation

Natural Science Foundation of Shaanxi Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference37 articles.

1. Challenges in multimodal gesture recognition;Escalera;J. Mach. Learn. Res.,2016

2. Gesture recognition: a survey;Mitra;IEEE Trans. Syst. Man Cybern. Part C (Applications and Reviews),2007

3. Real-time human pose recognition in parts from single depth images;Shotton;Commun. ACM,2013

4. Large-scale gesture recognition with a fusion of rgb-d data based on the c3d model;Li,2016

5. One-shot-learning gesture recognition using hog-hof;Konecnỳ;J. Mach. Learn. Res.,2014

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