Novel boosting framework for subunit-based sign language recognition

George Awad, Junwei Han, Alistair Sutherland

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    14 Citations (Scopus)

    Abstract

    Recently, a promising research direction has emerged in sign language recognition (SLR) aimed at breaking up signs into manageable subunits. This paper presents a novel SL learning technique based on boosted subunits. Three main contributions distinguish the proposed work from traditional approaches: 1) A novel boosting framework is developed to recognize SL. The learning is based on subunits instead of the whole sign, which is more scalable for the recognition task. 2) Feature selection is performed to learn a small set of discriminative combinations of subunits and SL features. 3) A joint learning strategy is adopted to share subunits across sign classes, which leads to a better performance classifiers. Our experiments show that compared to Dynamic Time Warping (DTW) when applied on the whole sign, our proposed technique gives better results.

    Original languageEnglish
    Title of host publicationImage Processing (ICIP), 2009 16th IEEE international conference on
    Place of PublicationPiscataway, NJ
    PublisherIEEE Computer Society
    Pages2729-2732
    Number of pages4
    ISBN (Print)9781424456536
    DOIs
    Publication statusPublished - 2009
    Event16th IEEE International Conference on Image Processing - Cairo, Egypt
    Duration: 7 Nov 200910 Nov 2009

    Conference

    Conference16th IEEE International Conference on Image Processing
    CountryEgypt
    CityCairo
    Period7/11/0910/11/09

    Cite this

    Awad, G., Han, J., & Sutherland, A. (2009). Novel boosting framework for subunit-based sign language recognition. In Image Processing (ICIP), 2009 16th IEEE international conference on (pp. 2729-2732). Piscataway, NJ: IEEE Computer Society. https://doi.org/10.1109/ICIP.2009.5414159
    Awad, George ; Han, Junwei ; Sutherland, Alistair. / Novel boosting framework for subunit-based sign language recognition. Image Processing (ICIP), 2009 16th IEEE international conference on. Piscataway, NJ : IEEE Computer Society, 2009. pp. 2729-2732
    @inproceedings{a1ed4f2e0bb74a9798556a3511324821,
    title = "Novel boosting framework for subunit-based sign language recognition",
    abstract = "Recently, a promising research direction has emerged in sign language recognition (SLR) aimed at breaking up signs into manageable subunits. This paper presents a novel SL learning technique based on boosted subunits. Three main contributions distinguish the proposed work from traditional approaches: 1) A novel boosting framework is developed to recognize SL. The learning is based on subunits instead of the whole sign, which is more scalable for the recognition task. 2) Feature selection is performed to learn a small set of discriminative combinations of subunits and SL features. 3) A joint learning strategy is adopted to share subunits across sign classes, which leads to a better performance classifiers. Our experiments show that compared to Dynamic Time Warping (DTW) when applied on the whole sign, our proposed technique gives better results.",
    author = "George Awad and Junwei Han and Alistair Sutherland",
    year = "2009",
    doi = "10.1109/ICIP.2009.5414159",
    language = "English",
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    Awad, G, Han, J & Sutherland, A 2009, Novel boosting framework for subunit-based sign language recognition. in Image Processing (ICIP), 2009 16th IEEE international conference on. IEEE Computer Society, Piscataway, NJ, pp. 2729-2732, 16th IEEE International Conference on Image Processing, Cairo, Egypt, 7/11/09. https://doi.org/10.1109/ICIP.2009.5414159

    Novel boosting framework for subunit-based sign language recognition. / Awad, George; Han, Junwei; Sutherland, Alistair.

    Image Processing (ICIP), 2009 16th IEEE international conference on. Piscataway, NJ : IEEE Computer Society, 2009. p. 2729-2732.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    AU - Han, Junwei

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    N2 - Recently, a promising research direction has emerged in sign language recognition (SLR) aimed at breaking up signs into manageable subunits. This paper presents a novel SL learning technique based on boosted subunits. Three main contributions distinguish the proposed work from traditional approaches: 1) A novel boosting framework is developed to recognize SL. The learning is based on subunits instead of the whole sign, which is more scalable for the recognition task. 2) Feature selection is performed to learn a small set of discriminative combinations of subunits and SL features. 3) A joint learning strategy is adopted to share subunits across sign classes, which leads to a better performance classifiers. Our experiments show that compared to Dynamic Time Warping (DTW) when applied on the whole sign, our proposed technique gives better results.

    AB - Recently, a promising research direction has emerged in sign language recognition (SLR) aimed at breaking up signs into manageable subunits. This paper presents a novel SL learning technique based on boosted subunits. Three main contributions distinguish the proposed work from traditional approaches: 1) A novel boosting framework is developed to recognize SL. The learning is based on subunits instead of the whole sign, which is more scalable for the recognition task. 2) Feature selection is performed to learn a small set of discriminative combinations of subunits and SL features. 3) A joint learning strategy is adopted to share subunits across sign classes, which leads to a better performance classifiers. Our experiments show that compared to Dynamic Time Warping (DTW) when applied on the whole sign, our proposed technique gives better results.

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    DO - 10.1109/ICIP.2009.5414159

    M3 - Conference contribution

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    BT - Image Processing (ICIP), 2009 16th IEEE international conference on

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    Awad G, Han J, Sutherland A. Novel boosting framework for subunit-based sign language recognition. In Image Processing (ICIP), 2009 16th IEEE international conference on. Piscataway, NJ: IEEE Computer Society. 2009. p. 2729-2732 https://doi.org/10.1109/ICIP.2009.5414159