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A gaze prediction technique for open signed video content using a track before detect algorithm

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

    4 Citations (Scopus)
    817 Downloads (Pure)

    Abstract

    This paper proposes a gaze prediction model for open signed video content. A face detection algorithm is used to locate faces across each frame in both profile and frontal orientations. A grid-based likelihood ratio track before detect routine is used to predict the orientation of the signer's head, which allows the gaze location to be localised to either the signer or the inset. The face detections are then used to narrow down the gaze prediction further. The gaze predictor is able to predict the results of an eye tracking study with up to 95% accuracy, and an average accuracy of over 80%
    Translated title of the contributionA gaze prediction technique for open signed video content using a track before detect algorithm
    Original languageEnglish
    Title of host publication15th IEEE International Conference on Image Processing, 2008 (ICIP 2008)
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages705 - 708
    Number of pages4
    ISBN (Print)9781424417650
    DOIs
    Publication statusPublished - Oct 2008
    Event15th International Conference on Image Processing - San Diego, CA, United States
    Duration: 1 Oct 2008 → …

    Publication series

    Name
    ISSN (Print)15224880

    Conference

    Conference15th International Conference on Image Processing
    Country/TerritoryUnited States
    CitySan Diego, CA
    Period1/10/08 → …

    Bibliographical note

    Rose publication type: Conference contribution

    Additional information: With accompanying conference presentation

    Sponsorship: This work was funded by the British Broadcasting Corporation (BBC)

    Terms of use: Copyright © 2008 IEEE. Reprinted from IEEE 15th International Conference on Image Processing, 2008 (ICIP 2008).

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    Keywords

    • video contexts
    • video coding
    • gaze tracking

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