Setting the Degree of Defocus for Video Images in a Monitoring System

  • Yukiya HorieEmail author
  • Nobuji Tetsutani
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9745)


We develop a persons-existence extraction system to protect the privacy of a user’s image. In this paper, we propose a novel video input method that considers both privacy and security, and we describe the degree of the criteria of the blur with the video input method. In addition, we discuss the problems associated with our previous algorithm, which determines the number of people from blurred images. We improve the algorithm and then evaluate it.


Privacy Security Defocus image Persons-existence extraction 


  1. 1.
    Kikuchi, Y., Kato, K., Inoue, H., Tetsutani, N.: A fundamental study of person recognition in defocused images for privacy protection. In: 2014 International Workshop on Advanced Image Technology, pp. 482–485 (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Tokyo Denki UniversityTokyoJapan

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