Automatic Detection of Bike-Riders Without Helmet IJTSRD
The paper proposes an approach for automatic detection of bike-riders without helmet using surveillance videos in real time. The proposed approach first detects bike riders from surveillance video using cross correlation analysis. Then it determines whether bike-rider is using a helmet or not using kurtosis features and knn classifier. The system has given an average recognition accuracy of 71.43% that is satisfactory.
by Vinayak Mudhomath | Prof. S. A. Angadi”Automatic Detection of Bike-Riders Without Helmet”
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018,
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