Real-Time Generic Face Tracking in the Wild with CUDA

Shiyang Cheng, Akshay Asthana, Ashish Asthana, Stefanos Zafeiriou, Jie Shen, Maja Pantic

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    13 Citations (Scopus)
    98 Downloads (Pure)

    Abstract

    We present a robust real-time face tracking system based on the Constrained Local Models framework by adopting the novel regression-based Discriminative Response Map Fitting (DRMF) method. By exploiting the algorithm's potential parallelism, we present a hybrid CPU-GPU implementation capable of achieving real-time performance at 30 to 45 FPS, on ordinary consumer-grade computers. We have made the software publicly available for research purposes.
    Original languageUndefined
    Title of host publicationProceedings of the 5th ACM Multimedia Systems Conference, MMSys 2014
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Pages148-151
    Number of pages4
    ISBN (Print)978-1-4503-2705-3
    DOIs
    Publication statusPublished - Mar 2014
    Event5th ACM Multimedia Systems Conference, MMSys 2014 - Singapore, Singapore
    Duration: 19 Mar 201421 Mar 2014
    Conference number: 5

    Publication series

    Name
    PublisherACM

    Conference

    Conference5th ACM Multimedia Systems Conference, MMSys 2014
    Abbreviated titleMMSys
    CountrySingapore
    CitySingapore
    Period19/03/1421/03/14

    Keywords

    • HMI-HF: Human Factors
    • EWI-25822
    • HOG
    • Face Tracking
    • METIS-309948
    • CUDA
    • Constrained Local Model
    • IR-95229
    • SVM

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