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Infrared Image Pedestrian Detection Techniques with Quantitative Analysis

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1037))

Abstract

Pedestrian detection in infrared (IR) images is important due to widely used IR images in many applications including surveillance, night vision, searching, environmental monitoring, driving assistant system etc. Among these pedestrian detection in defense gained more attention in the infrared images. However, there are still many problems existed in pedestrian detection in infrared images are low signal to noise ratio, low contrast, complex background, pedestrians are prone to occluded by other things and lack of shape. In this paper, Global background subtraction, adaptive filter and local adaptive thresholding based Pedestrian Detection method proposed to overcome these problems. Further, the proposed method tested on the OSU thermal pedestrian database. In addition, proposed method result is compared along with the popular existing traditional methods using quantitative measures. From experimental results deduced that the proposed method earned excellent detection rate when compared to other methods.

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India

    Rajkumar Soundrapandiyan

  2. Department of Computer Science, University of South Dakota, Vermillion, USA

    K. C. Santosh

  3. Department of Computer Applications, NIT Jamshedpur, Jamshedpur, India

    P. V. S. S. R. Chandra Mouli

Authors
  1. Rajkumar Soundrapandiyan
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  2. K. C. Santosh
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  3. P. V. S. S. R. Chandra Mouli
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Corresponding authors

Correspondence to K. C. Santosh or P. V. S. S. R. Chandra Mouli .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Solapur University, Solapur, India

    Ravindra S. Hegadi

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Soundrapandiyan, R., Santosh, K.C., Chandra Mouli, P.V.S.S.R. (2019). Infrared Image Pedestrian Detection Techniques with Quantitative Analysis. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-13-9187-3_37

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  • DOI: https://doi.org/10.1007/978-981-13-9187-3_37

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9186-6

  • Online ISBN: 978-981-13-9187-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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