Automatic Detection of Bike-Riders Without Helmet

Prof. S. A. Angadi; Vinayak Mudhomath

Title:
Automatic Detection of Bike-Riders Without Helmet

Authors:
Vinayak Mudhomath | Prof. S. A. Angadi
DOI:
https://doi.org/10.31142/ijtsrd18217

Cite This Article :

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, pp.1972-1975, URL: https://www.ijtsrd.com/papers/ijtsrd18217.pdf

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Abstract :
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.

Keywords :
Detecting Bike riders without helmet, cross correlation, knn classifier.

Publication Details:

Unique Identification Number : IJTSRD18217

Published In : Volume-2 | Issue-5, August 2018

Page Number(s) : 1972-1975

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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