Real‐time action feature extraction via fast PCA‐Flow-Reference-Cited by-同舟云学术

Real‐time action feature extraction via fast PCA‐Flow

Published:2019-09-15 Issue:11 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Chen Huafeng¹^ORCID,Li Hongyang²,Xu Zengmin³,Zhao Yunhong¹,He Tigang¹

Affiliation:

1. School of Computer Engineering Jingchu University of Technology Jingmen China

2. College of Computer and Information Technology China Three Gorges University Yichang China

3. School of Mathematics and Computing Science Guilin University of Electronic Technology Guilin China

Funder

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.5507

Reference32 articles.

1. Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice

2. Temporal sparse feature auto-combination deep network for video action recognition

3. An efficient method to resolve intraclass variability using highly refined HOG description model for human action recognition;Akila K;Concurrency Computat Pract Exper,2019

4. Dense Trajectories and Motion Boundary Descriptors for Action Recognition

5. Action recognition by saliency-based dense sampling

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Foreword to the special issue of the intelligent systems for the Internet of Things ( ISIT2018 );Concurrency and Computation: Practice and Experience;2021-03-05

2. Recognizing human behaviors from surveillance videos using the SSD algorithm;The Journal of Supercomputing;2021-01-04