Automatic Detection of Bike-Riders Without Helmet

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. 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, URL: http://www.ijtsrd.com/papers/ijtsrd18217.pdf http://www.ijtsrd.com/computer-science/data-processing/18217/automatic-detection-of-bike-riders-without-helmet/vinayak-mudhomath