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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
2019
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|