It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
  • AWARDS
  • WORKS
      • ALL
      • SCHOOLS & OFFICES
          • SCHOOL OF ARTS AND SOCIAL SCIENCES
          • LEE SHAU KEE SCHOOL OF BUSINESS AND ADMINISTRATION
          • SCHOOL OF EDUCATION AND LANGUAGES
          • SCHOOL OF NURSING AND HEALTH STUDIES
          • SCHOOL OF SCIENCE AND TECHNOLOGY
          • LI KA SHING SCHOOL OF PROFESSIONAL AND CONTINUING EDUCATION (LiPACE)
          • LIBRARY
          • STUDENT AFFAIRS OFFICE
      • COLLECTIONS
  • ABOUT
Search
Advanced Search
Log In
繁
简
close×
  • Home
  • S&T Best Computing Projects

Using event camera to detect, track, and classify the human body

Twitter logo Weibo logo Whatsapp logo Facebook logo Mail logo
Part of: Using event camera to detect, track, and classify the human body (2 objects)
1 of 2 Next
Using event camera to detect, track, and classify the human body - pdf
Using event camera to detect, track, and classify the human body - video
Collection
  • S&T Best Computing Projects
Hide Record Details
Record ID
stcompfyp:147
Title
Using event camera to detect, track, and classify the human body
Type of Work
Final Year Project/Work
Collection
S&T Best Computing Projects
Contributor
Vimal, Chandwaney Jatin (group member)
Lui, Tung Lam (group member)
Li, Zhenyou (group member)
Li, Zeliang (group member)
Au Yeung, Siu Kei Jeff 歐陽兆基 (supervisor) 
School / Unit
School of Science and Technology (S&T) 
Program
Bachelor of Science with Honours in Computer Science
Date
2022
Abstract
Our project aims to apply the event camera as an all-day stationary surveillance camera to collect continuous event data to train deep learning models to detect accidents and medical emergencies for single-living elderly in low lighting environments.
Type of Resource
Mixed
Language
English
Physical Description
This work includes 1 PDF and 1 video clip.
Notes
Team name : The Present
Keywords
older people - care; computer vision; deep learning (machine learning)
Access Eligibility
Public Access
Permanent Link
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:147
Hide Object Details
Record ID
stcompfyp:148
Title
Using event camera to detect, track, and classify the human body - pdf
Collection
S&T Best Computing Projects
Type of Resource
PDF
Physical Description
6 pages.
Access Eligibility
Public Access
Permanent Link
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:148
Responsible Use of Electronic Resources
Internet Policy and Disclaimer
© Hong Kong Metropolitan University. All Rights Reserved.