Clustered Spatio-temporal Manifolds for Online Action Recognition

    Research output: Contribution to conferencePaperpeer-review

    Original languageEnglish
    DOIs
    Publication statusPublished - Aug 2014
    Event2014 22nd International Conference on Pattern Recognition (ICPR) - Stockholm, Sweden
    Duration: 24 Aug 201428 Aug 2014

    Conference

    Conference2014 22nd International Conference on Pattern Recognition (ICPR)
    Period24/08/1428/08/14

    Keywords

    • anthropometry
    • feature extraction
    • image classification
    • image coding
    • image fusion
    • pattern clustering
    • pose estimation
    • spatiotemporal phenomena
    • DTW
    • anthropometric variations
    • classification error
    • clustered spatiotemporal manifolds
    • dynamic time warping
    • execution rate invariance
    • execution rates
    • low computational latency
    • low-latency online action recognition
    • offline action recognition approach
    • online action recognition
    • personal style
    • personal styles
    • pose based features
    • publicly available datasets
    • skeleton data
    • spatio-temporal manifolds
    • template fragment matching
    • Accuracy
    • Feature extraction
    • Joints
    • Manifolds
    • Real-time systems
    • Training
    • dimensionality reduction and manifold learning
    • gesture and behaviour analysis
    • human computer interaction
    • Computer science and informatics

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