Diminished Reality for Privacy Protection by Hiding Pedestrians in Motion Image Sequences Using Structure from Motion

Kentaro Yagi, Kunihiro Hasegawa, Hideo Saito

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

2 Citations (Scopus)

Abstract

We present a method for generating images in which people are hidden from image sequences taken with a hand-held camera. Our method is basically used for privacy protection of people whose images are unintentionally captured in image sequences. We hide people from images by reconstructing a 3D model of background and projecting it to 2D images. By detecting the area in which people are present beforehand, we can reconstruct a 3D model of the background without people. In the experiment, We compare our method with some conventional approaches for diminished reality.

Original languageEnglish
Title of host publicationAdjunct Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages334-337
Number of pages4
ISBN (Electronic)9780769563275
DOIs
Publication statusPublished - 2017 Oct 27
Event16th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017 - Nantes, France
Duration: 2017 Oct 92017 Oct 13

Other

Other16th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017
CountryFrance
CityNantes
Period17/10/917/10/13

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Keywords

  • Diminished reality
  • Inpainting
  • Multi-view stereo
  • Privacy protection
  • Structure from motion

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Media Technology
  • Computer Science Applications

Cite this

Yagi, K., Hasegawa, K., & Saito, H. (2017). Diminished Reality for Privacy Protection by Hiding Pedestrians in Motion Image Sequences Using Structure from Motion. In Adjunct Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017 (pp. 334-337). [8088516] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISMAR-Adjunct.2017.101