A Study of Privacy Protection of Photos Taken by a Wide-angle Surveillance Camera

Koki Nakai, Koki Nakai, Minoru Kuribayashi, Nobuo Funabiki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a privacy protection system that detects human faces from images captured by a wide-angle camera, which is assumed to be a surveillance camera, and encrypts the face detection area. In the proposed face detection method, a classifier is created by AdaBoost learning based on Haar-like features, and the face region is detected from the image captured by the wide-angle camera. By creating the training data based on the face images captured by the camera, faces without can be detected compromising the detection accuracy, even for surveillance cameras. We use block-scrambling encryption to protect the privacy of the detected face area. During face detection, minimizing the probability of missing a face and allowing a certain number of false positives are necessary from the privacy protection viewpoint. In the case of false positives in previous encryption methods, the color space of the background cannot be preserved, resulting in visual degradation. Therefore, in the proposed encryption method, visual degradation is suppressed by improving the processing of the color components. Through simulations, we evaluate the effectiveness of the proposed method in terms of detection accuracy and processing speed for face detection, as well as color component change and compression efficiency for encryption.

Original languageEnglish
Title of host publication2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1865-1871
Number of pages7
ISBN (Electronic)9789881476890
Publication statusPublished - 2021
Event2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Tokyo, Japan
Duration: Dec 14 2021Dec 17 2021

Publication series

Name2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings

Conference

Conference2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021
Country/TerritoryJapan
CityTokyo
Period12/14/2112/17/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Instrumentation

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