Human Action Recognition Using Improved Sparse Gaussian Process Latent Variable Model and Hidden Conditional Random Filed

Human Action Recognition Using Improved Sparse Gaussian Process Latent Variable Model and Hidden Conditional Random Filed

Owing to the fragile to external environment, current human activity recognition is still challenging in the area of computer vision. In particular, the recognition of subtle actions is a difficult task to distinguish from each other. In this paper, we proposed the methods for human action recogniti...

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Bibliographic Details
Main Authors: Linqin Cai, Xiaolin Liu, Heen Ding, Fuli Chen
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Image recognition
machine learning
feature extraction
manifold learning
hidden conditional random field
Online Access:https://ieeexplore.ieee.org/document/8329964/

Internet

https://ieeexplore.ieee.org/document/8329964/

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