Micro-doppler analysis and classification (I)
This project was designed to identify the individuals by their gait, so called an automatic human identification system based on people’s walking features, which can contribute in security and surveillance systems. The project has a great potential if integrated with surveillance system, as we know,...
Saved in:
Main Author: | Zeng, Dequan |
---|---|
Other Authors: | Jiang Xudong |
Format: | Final Year Project |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/75006 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Automated classification of micro-doppler signature
by: Zhao, Dawei
Published: (2017) -
A comparative study among EMDs for micro-doppler UAV classification
by: Gu, Zhaoning
Published: (2017) -
A UAV classification system based on FMCW radar micro-Doppler signature analysis
by: Oh, Beom-Seok, et al.
Published: (2020) -
Human gait recognition by micro-doppler analysis of the signal
by: Huang, Shan
Published: (2016) -
EMD-based entropy features for micro-doppler mini-UAV classification
by: Ma, Xinyue, et al.
Published: (2020)