Multi‐feature consultation model for human action recognition in depth video sequence-Reference-Cited by-同舟云学术

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Multi‐feature consultation model for human action recognition in depth video sequence

Published:2018-09-25 Issue:16 Volume:2018 Page:1498-1502
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Liu Xueping¹,Li Yibo²,Li Xiaoming³,Tian Can⁴,Yang Yueqi⁴

Affiliation:

1. College of Automation EngineeringNanjing University of Aeronautics and AstronauticsNanjingPeople's Republic of China

2. College of Automation EngineeringShenyang Aerospace UniversityShenyangPeople's Republic of China

3. Institute of Information Systems EngineeringConcordia UniversityMontrealCanada

4. Faculty of Aerospace EngineeringShenyang Aerospace UniversityShenyangPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2018.8301

Reference26 articles.

1. RGB‐D datasets using microsoft kinect or similar sensors: a survey;Cai Z.;Multimed. Tools Appl.,2017

2. Recent trends in machine learning for human activity recognition – a survey;Ramamurthy S R.;Wiley Interdiscip. Rev. Data Min. Knowl. Discov.,2018

3. Hand gesture recognition for human computer interaction;Haria A.;Procedia Comput. Sci.,2017

4. GulerA. KardarisN. ChandraS.et al.: ‘Human joint angle estimation and gesture recognition for assistive robotic vision’.Computer Vision – ECCV 2016 Workshops Springer Cham 2016 pp.415–431

5. Features‐based moving objects tracking for smart video surveillances: a review;Aziz N N A.;Int. J. Artif. Intell. Tools,2018

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