Human Action Recognition With Temporal Dense Sampling Deep Neural Networks

In computer vision, Human Action Recognition (HAR) has always been an important study for human-computer interaction. With more and more effective algorithms in representation learning, specifically Convolutional Neural Network (ConvNet)-based architecture in computer vision, the breakthrough for HAR...

Full description

Saved in:
Bibliographic Details
Main Author: Tan, Kok Seang
Format: Thesis
Published: 2019
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!