An face-based visual fixation system for prosthetic vision

Xuming He, Junae Kim, Nick Barnes

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

    Abstract

    Recent studies have shown the success of face recognition using low resolution prosthetic vision, but it requires a zoomed-in and stably-fixated view, which will be challenging for a user with the limited resolution of current prosthetic vision devices. We propose a real-time object detection and tracking system capable of fixating human faces. By integrating both static and temporal information, we are able to improve the robustness of face localization so that it can fixate on faces with large pose variations. Our qualitative and quantitative results demonstrate the viability of supplementing visual prosthetic devices with the ability to visually fixate objects automatically, and provide a stable zoomed-in image stream to facilitate face and expression recognition.
    Original languageEnglish
    Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    EditorsMichael C. K. Khoo; Gert Cauwenberghs; James Weiland
    Place of PublicationPiscataway, New Jersey
    PublisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
    Pages2981-2984
    EditionPeer Reviewed
    ISBN (Print)9781457717871
    DOIs
    Publication statusPublished - 2012
    EventIEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2012) - San Diego, USA, United States
    Duration: 1 Jan 2012 → …
    http://dx.doi.org/10.1109/EMBC.2012.6347194

    Conference

    ConferenceIEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2012)
    Country/TerritoryUnited States
    Period1/01/12 → …
    OtherAugust 28-September 1 2012
    Internet address

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