Human Motion Target Recognition Using Convolutional Neural Network and Global Constraint Block Matching

Human Motion Target Recognition Using Convolutional Neural Network and Global Constraint Block Matching

The traditional human behavior recognition algorithm is easy to ignore the spatial constraint problem of feature blocks, which leads to poor recognition effect and low correct rate. Therefore, we proposed a human motion target recognition algorithm based on Convolution Neural Network (referred to as...

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Bibliographic Details
Main Authors: Wei Liu, Shangbin Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
global constraint block
feature block
spatial constraints
matching
human motion target
Online Access:https://ieeexplore.ieee.org/document/9058693/

Internet

https://ieeexplore.ieee.org/document/9058693/

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