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Detecting Helmet of Bike Riders in Outdoor Video Sequences for Road Traffic Accidental Avoidance

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Intelligent Systems Design and Applications (ISDA 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 941))

Abstract

In metro cities of all over the world, the growing number personal vehicles and fast life style of the people frequently meet very serious accidents. Due to deeply regretted reports from the loss of manpower and economy, accidental avoidance becomes a hot challenging research topic. In this paper, we consider specifically the accidents that happen due to bike rider’s involvement. Focusing on detecting helmet test, we proposed a computer vision based model that exploits HOOG descriptor with RBF kernel based SVM classification. Our experiments have two tier classifications, first is between bike riders and non-bike rider’s detection and second is to determine whether the bike riders in the first phases wearing a helmet or not. The initial phase uses video surveillance for detecting the bike riders by using background modeling and bounding based object segmentation. The performance comparison of our model on three widely used kernels ensures the validation of the satisfactory results. We achieved helmet detection accuracy with radial basis kernel 96.67%. Our model can detect any type of helmets in the outdoor video sequences and help security and safety aspects of bike riders.

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Authors and Affiliations

  1. Department of Mathematics, I.I.T. Roorkee, Roorkee, 247667, India

    N. Kumar & N. Sukavanam

Authors
  1. N. Kumar
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  2. N. Sukavanam
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Corresponding author

Correspondence to N. Kumar .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Kumar, N., Sukavanam, N. (2020). Detecting Helmet of Bike Riders in Outdoor Video Sequences for Road Traffic Accidental Avoidance. In: Abraham, A., Cherukuri, A., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-16660-1_3

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