Group expression intensity estimation in videos via Gaussian Processes

Abhinav Dhall, Roland Goecke

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    13 Citations (Scopus)
    1 Downloads (Pure)

    Abstract

    Facial expression analysis has been a very active field of research in recent years. This paper proposes a method for finding the apex of an expression, e.g. happiness, in a video containing a group of people based on expression intensity estimation. The proposed method is directly applied to video summarisation based on group happiness and timestamps; further, a novel Gaussian Process Regression based expression intensity estimation method is described. To demonstrate its performance, experiments on smile intensity estimation are performed and compared to other regression based techniques. The smile intensity estimator is extended to group happiness intensity estimation. The proposed intensity estimator can be extended easily for other expressions. The experiments are performed on an 'in the wild' dataset. Quantitative results are presented for comparison of our happiness-intensity detector. A user study was also conducted to verify the results of the proposed method.
    Original languageEnglish
    Title of host publicationProceedings International Conference on Pattern Recognition (ICPR 2012)
    Place of PublicationUnited States
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages3525-3528
    Number of pages4
    ISBN (Electronic)9784990644109
    ISBN (Print)9784990644109
    Publication statusPublished - 2012
    Event21st International Conference on Pattern Recognition (ICPR 2012) - Tsukuba, Tsukuba, Japan
    Duration: 11 Nov 201215 Nov 2012

    Conference

    Conference21st International Conference on Pattern Recognition (ICPR 2012)
    Abbreviated titleICPR 2012
    CountryJapan
    CityTsukuba
    Period11/11/1215/11/12

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    Cite this

    Dhall, A., & Goecke, R. (2012). Group expression intensity estimation in videos via Gaussian Processes. In Proceedings International Conference on Pattern Recognition (ICPR 2012) (pp. 3525-3528). United States: IEEE, Institute of Electrical and Electronics Engineers.
    Dhall, Abhinav ; Goecke, Roland. / Group expression intensity estimation in videos via Gaussian Processes. Proceedings International Conference on Pattern Recognition (ICPR 2012). United States : IEEE, Institute of Electrical and Electronics Engineers, 2012. pp. 3525-3528
    @inproceedings{9ff44a5129354d80abb88c572ef6170a,
    title = "Group expression intensity estimation in videos via Gaussian Processes",
    abstract = "Facial expression analysis has been a very active field of research in recent years. This paper proposes a method for finding the apex of an expression, e.g. happiness, in a video containing a group of people based on expression intensity estimation. The proposed method is directly applied to video summarisation based on group happiness and timestamps; further, a novel Gaussian Process Regression based expression intensity estimation method is described. To demonstrate its performance, experiments on smile intensity estimation are performed and compared to other regression based techniques. The smile intensity estimator is extended to group happiness intensity estimation. The proposed intensity estimator can be extended easily for other expressions. The experiments are performed on an 'in the wild' dataset. Quantitative results are presented for comparison of our happiness-intensity detector. A user study was also conducted to verify the results of the proposed method.",
    keywords = "Facial expression analysis, face analysis, expression intensity, Gaussian Processes, group mood",
    author = "Abhinav Dhall and Roland Goecke",
    year = "2012",
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    isbn = "9784990644109",
    pages = "3525--3528",
    booktitle = "Proceedings International Conference on Pattern Recognition (ICPR 2012)",
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    Dhall, A & Goecke, R 2012, Group expression intensity estimation in videos via Gaussian Processes. in Proceedings International Conference on Pattern Recognition (ICPR 2012). IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 3525-3528, 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan, 11/11/12.

    Group expression intensity estimation in videos via Gaussian Processes. / Dhall, Abhinav; Goecke, Roland.

    Proceedings International Conference on Pattern Recognition (ICPR 2012). United States : IEEE, Institute of Electrical and Electronics Engineers, 2012. p. 3525-3528.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    TY - GEN

    T1 - Group expression intensity estimation in videos via Gaussian Processes

    AU - Dhall, Abhinav

    AU - Goecke, Roland

    PY - 2012

    Y1 - 2012

    N2 - Facial expression analysis has been a very active field of research in recent years. This paper proposes a method for finding the apex of an expression, e.g. happiness, in a video containing a group of people based on expression intensity estimation. The proposed method is directly applied to video summarisation based on group happiness and timestamps; further, a novel Gaussian Process Regression based expression intensity estimation method is described. To demonstrate its performance, experiments on smile intensity estimation are performed and compared to other regression based techniques. The smile intensity estimator is extended to group happiness intensity estimation. The proposed intensity estimator can be extended easily for other expressions. The experiments are performed on an 'in the wild' dataset. Quantitative results are presented for comparison of our happiness-intensity detector. A user study was also conducted to verify the results of the proposed method.

    AB - Facial expression analysis has been a very active field of research in recent years. This paper proposes a method for finding the apex of an expression, e.g. happiness, in a video containing a group of people based on expression intensity estimation. The proposed method is directly applied to video summarisation based on group happiness and timestamps; further, a novel Gaussian Process Regression based expression intensity estimation method is described. To demonstrate its performance, experiments on smile intensity estimation are performed and compared to other regression based techniques. The smile intensity estimator is extended to group happiness intensity estimation. The proposed intensity estimator can be extended easily for other expressions. The experiments are performed on an 'in the wild' dataset. Quantitative results are presented for comparison of our happiness-intensity detector. A user study was also conducted to verify the results of the proposed method.

    KW - Facial expression analysis

    KW - face analysis

    KW - expression intensity

    KW - Gaussian Processes

    KW - group mood

    M3 - Conference contribution

    SN - 9784990644109

    SP - 3525

    EP - 3528

    BT - Proceedings International Conference on Pattern Recognition (ICPR 2012)

    PB - IEEE, Institute of Electrical and Electronics Engineers

    CY - United States

    ER -

    Dhall A, Goecke R. Group expression intensity estimation in videos via Gaussian Processes. In Proceedings International Conference on Pattern Recognition (ICPR 2012). United States: IEEE, Institute of Electrical and Electronics Engineers. 2012. p. 3525-3528