Towards a unified framework for hand-based methods in first person vision

A. Betancourt Arango, P. Morerio, L. Marcenaro, E.I. Barakova, G.W.M. Rauterberg, C.S. Regazzoni

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

    15 Citations (Scopus)
    3 Downloads (Pure)

    Abstract

    First Person Vision (Egocentric) video analysis stands nowadays as one of the emerging fields in computer vision. The availability of wearable devices recording exactly what the user is looking at is ineluctable and the opportunities and challenges carried by this kind of devices are broad. Particularly, for the first time a device is so intimate with the user to be able to record the movements of his hands, making hand-based applications for First Person Vision one the most explored area in the field. This paper explores the more popular processing steps to develop hand-based applications, and proposes a hierarchical structure that optimally switches between each of the levels to reduce the computational cost of the system and improve its performance.
    Original languageEnglish
    Title of host publication2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). June 29-July 3, 2015, Turin. Italy
    Place of PublicationPIscataway
    PublisherInstitute of Electrical and Electronics Engineers
    Pages1-6
    ISBN (Print)978-1-4799-7079-7
    DOIs
    Publication statusPublished - 2015
    Event2015 IEEE International Conference on Multimedia and Expo (ICME 2015) - Torino Incontra, Turin, Italy
    Duration: 29 Jun 20153 Jul 2015
    http://www.icme2015.ieee-icme.org/

    Conference

    Conference2015 IEEE International Conference on Multimedia and Expo (ICME 2015)
    Abbreviated titleICME 2015
    CountryItaly
    CityTurin
    Period29/06/153/07/15
    Internet address

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