Person de-identification in activity videos

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

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    5 Citations (Scopus)

    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 - Proceedings
    Pages1294-1299
    Number of pages6
    DOIs
    Publication statusPublished - 2014
    Publication typeA4 Article in a conference publication
    Event2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2014 - Opatija, Croatia
    Duration: 26 May 201430 May 2014

    Conference

    Conference2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2014
    Country/TerritoryCroatia
    CityOpatija
    Period26/05/1430/05/14

    Keywords

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

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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