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Detecting motorcycle helmet use with deep learning
Felix Wilhelm Siebert,
Hanhe Lin
Computing
Research output
:
Contribution to journal
›
Article
›
peer-review
50
Citations (Scopus)
49
Downloads (Pure)
Overview
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Dive into the research topics of 'Detecting motorcycle helmet use with deep learning'. Together they form a unique fingerprint.
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Keyphrases
Motorcycle
100%
Deep Learning
100%
Helmet Use
100%
Motorcycle Helmet Use
100%
Video Data
66%
Injury Prevention
66%
Developing Countries
33%
Fatality
33%
Roadside
33%
Use Rate
33%
Detection Accuracy
33%
Number of Factors
33%
Specific Training
33%
Algorithm Accuracy
33%
Motorcycle Helmet
33%
Real-time Speed
33%
Myanmar
33%
Main Forms
33%
Lack of Data
33%
Prevention Campaign
33%
Deep Learning Methods
33%
Education Campaigns
33%
Automated Registration
33%
Human Observer
33%
Multiple Observations
33%
Motorization
33%
Helmet Detection
33%
Law-abiding
33%
Behavioural Metrics
33%
Traffic Surveillance
33%
Safety-critical
33%
Engineering
Deep Learning Method
100%
Infrastructure
50%
Metrics
50%
Test Data
50%
Road
50%
Collected Data
50%
Learning Approach
50%
Human Observer
50%
Multiple Observation
50%
Roadsides
50%
Developing Country
50%
Computer Science
Deep Learning Method
100%
Collected Data
50%
Learning Approach
50%
Detection Accuracy
50%
Related Injury
50%
Related Fatality
50%
Multiple Observation
50%