An efficient human action recognition framework with pose-based spatiotemporal features-Reference-Cited by-同舟云学术

An efficient human action recognition framework with pose-based spatiotemporal features

Published:2020-02 Issue:1 Volume:23 Page:196-203
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Agahian Saeid,Negin Farhood,Köse Cemal

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference64 articles.

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4. Human action recognition with video data: research and evaluation challenges;Ramanathan;IEEE Trans. Human-Mach. Syst.,2014

5. Efficient pose-based action recognition;Eweiwi,2014

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