Deep Learning Methods for Human Action Recognition

About this item

Title

Deep Learning Methods for Human Action Recognition

Content partner

Auckland University of Technology

Collection

Tuwhera

Description

Human action recognition from digital videos is a hot topic in the field of computer vision. It has a pretty assortment of applications in a myriad of fields such as video surveillance, human-computer interaction, visual information retrieval, and unmanned driving. With the exponential growth of surveillance data on the Internet in recent years, how to implement effective and efficient analysis of video data is extremely crucial. Traditional machine learning methods that only extract computab...

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Format

Research paper

Research format

Thesis

Thesis level

Masters

Date created

2021

Creator

Yu, Zeqi

URL

https://openrepository.aut.ac.nz/handle/10292/14076

Related subjects

Human action recognition / Convolutional neural network / Deep learning / LSTM / 3D-CNN / Two-Stream CNN

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