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Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach

Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach

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SHAHI, Ahmad, Brendon J. WOODFORD, Hanhe LIN, 2017. Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach. PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM. Jeju, South Korea, May 23, 2017. In: KANG, U, ed. and others. Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM, Jeju, South Korea, May 23, 2017, revised selected papers. Cham:Springer, pp. 26-38. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-67273-1. Available under: doi: 10.1007/978-3-319-67274-8_3

@inproceedings{Shahi2017-10-07Dynam-44099, title={Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach}, year={2017}, doi={10.1007/978-3-319-67274-8_3}, number={10526}, isbn={978-3-319-67273-1}, issn={0302-9743}, address={Cham}, publisher={Springer}, series={Lecture notes in artificial intelligence}, booktitle={Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM, Jeju, South Korea, May 23, 2017, revised selected papers}, pages={26--38}, editor={Kang, U}, author={Shahi, Ahmad and Woodford, Brendon J. and Lin, Hanhe} }

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