Human behaviour recognition with mid‐level representations for crowd understanding and analysis-Reference-Cited by-同舟云学术

Human behaviour recognition with mid‐level representations for crowd understanding and analysis

Published:2021-02-25 Issue:14 Volume:15 Page:3414-3424
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Sun Bangyong¹²,Yuan Nianzeng¹,Li Shuying³,Wu Siyuan²^ORCID,Wang Nan²⁴^ORCID

Affiliation:

1. College of Printing, Packaging Engineering and Digital Media Xi'an University of Technology Xi'an Shaanxi 710048 China

2. The Key Laboratory of Spectral Imaging Technology CAS Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences Xi'an Shaanxi 710119 China

3. School of Automation Xi'an University of Posts & Telecommunications Xi'an Shaanxi 710121 P.R. China

4. University of Chinese Academy of Sciences 19A Yuquanlu Beijing 100049 P. R. China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12147

Reference56 articles.

1. Zhang P. et al.:Semantics‐guided neural networks for efficient skeleton‐based human action recognition.IEEE Conf Computer Vision and Pattern Recognition (2020) pp. 1112–1121

2. Enhancing Data-Driven Algorithms for Human Pose Estimation and Action Recognition Through Simulation

3. Deep Convolutional Neural Networks for Human Action Recognition Using Depth Maps and Postures

4. Zhao R. et al.:Bayesian hierarchical dynamic model for human action recognition.IEEE Conf Computer Vision and Pattern Recognition (2019) pp. 7733–7742

5. Unsupervised Learning of Human Action Categories in Still Images with Deep Representations

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