Clustered Spatio-temporal Manifolds for Online Action Recognition

Bloom, Victoria, Makris, Dimitrios and Argyriou, Vasileios (2014) Clustered Spatio-temporal Manifolds for Online Action Recognition. In: 2014 22nd International Conference on Pattern Recognition (ICPR); 24-28 Aug 2014, Stockholm, Sweden. ISSN (print) 1051-4651

Official URL: https://doi.org/10.1109/ICPR.2014.679

Official URL:	https://doi.org/10.1109/ICPR.2014.679
Item Type:	Conference or Workshop Item (Paper)
Event Title:	2014 22nd International Conference on Pattern Recognition (ICPR)
Uncontrolled 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
Research Area:	Research Areas > Computer science and informatics
Faculty, School or Research Centre:	Faculty of Science, Engineering and Computing (until 2017) > School of Computing and Information Systems
Date Deposited:	01 Nov 2017 11:52
Last Modified:	07 Sep 2022 12:48
DOI:	https://doi.org/10.1109/ICPR.2014.679
URI:	https://eprints.kingston.ac.uk/id/eprint/33541

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