Human action recognition based on back propagation neural network
For human action recognition,an algorithm for classifying human action based on back propagation (BP) neural network was proposed.Firstly,singular value decomposition (SVD) was used to extract the singular value of each frame of the video.Then each row of a matrix was composed of the singular value...
Saved in:
Main Author: | Jian ZOU |
---|---|
Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2017-09-01
|
Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00196 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Explore human parsing modality for action recognition
by: Jinfu Liu, et al.
Published: (2024-12-01) -
Multi-source data recognition and fusion algorithm based on a two-layer genetic algorithm–back propagation model
by: Zhuang Xiong, et al.
Published: (2025-01-01) -
A Novel Optimization Method Using the Box–Behnken Design Integrated with a Back Propagation Neural Network–Genetic Algorithm for Hydrogen Purification
by: Nannan Zhang, et al.
Published: (2024-12-01) -
Improving Imitation Skills in Children with Autism Spectrum Disorder Using the NAO Robot and a Human Action Recognition
by: Abeer Alnafjan, et al.
Published: (2024-12-01) -
Neural network-based link prediction algorithm
by: Yonghao PAN, et al.
Published: (2018-07-01)