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S&T Best Computing Projects
Using event camera to detect, track, and classify the human body
Part of: Using event camera to detect, track, and classify the human body (2 objects)
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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
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
Object Details
Record ID
stcompfyp:149
Title
Using event camera to detect, track, and classify the human body - video
Collection
S&T Best Computing Projects
Type of Resource
Video
Physical Description
13 minutes and 52 seconds.
Access Eligibility
Public Access
Permanent Link
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:149
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