Person De-identification in Activity Videos

M. Ivasic-Kos, A. Iosifidis, A. Tefas, Ioannis Pitas

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

5 Citations (Scopus)
211 Downloads (Pure)

Abstract

Person identification based on gait recognition has been extensively studied in the last two decades, while information appearing in different action types (like bend) has been recently exploited to this end. However, in most application scenarios it is sufficient to recognize the performed activity, whereas the ID of persons performing activities is not important. Since the same human body representations, e.g., body silhouettes, can be employed for both tasks, there is a need to automatically create privacy preserving representations. We have applied 2D Gaussian filtering to obfuscate the human body silhouettes that implicate information about the person ID. We have experimentally showed how the use of filtering affects the person identification and action recognition performance in different camera setups formed by an arbitrary number of cameras. In addition, the discriminative ability of different activities is examined and discussed in order to detect cases in which it is possible to apply Gaussian filter with a greater variance.
Original languageEnglish
Title of host publication2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2014)
Subtitle of host publicationProceedings of a meeting held 26-30 May 2014, Opatija, Croatia
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1294-1299
Number of pages6
ISBN (Electronic)9789532330816
ISBN (Print)9781479956579
DOIs
Publication statusPublished - Sep 2014
EventIEEE International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) - oPATIJA/aBBAZIA, Croatia
Duration: 30 May 20143 Jun 2014

Conference

ConferenceIEEE International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
CountryCroatia
CityoPATIJA/aBBAZIA
Period30/05/143/06/14

Keywords

  • de-identification of human body silhouette
  • action recognition
  • Gaussian filter

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