Dronecaps: recognition of human actions in drone videos using capsule networks with binary volume comparisons Algamdi, Abdullah M, Sanchez, Victor and Li, Chang-Tsun 2020, Dronecaps: recognition of human actions in drone videos using capsule networks with binary volume comparisons, in ICIP 2020 : Proceedings of the 2020 IEEE International Conference on Image Processing, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 3174-3178, doi: 10.1109/ICIP40778.2020.9190864. Attached Files Name Description MIMEType Size Downloads Title Dronecaps: recognition of human actions in drone videos using capsule networks with binary volume comparisons Author(s) Algamdi, Abdullah M Sanchez, Victor Li, Chang-Tsun orcid.org/0000-0003-4735-6138 Conference name IEEE Signal Processing Society. International Conference (2020 : Online from Abu Dhabi, United Arab Emirates) Conference location Online from Abu Dhabi, United Arab Emirates Conference dates 2020/10/25 - 2020/10/28 Title of proceedings ICIP 2020 : Proceedings of the 2020 IEEE International Conference on Image Processing Editor(s) [Unknown] Publication date 2020 Series IEEE Signal Processing Society International Conference Start page 3174 End page 3178 Total pages 5 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Keyword(s) Capsule networks EM Routing Dynamic Routing drone videos Human Action Recognition Notes This conference was originally scheduled to be held in Abu Dhabi, United Arab Emirates, however due to the 2020 COVID Pandemic, the event was held online. ISBN 9781728163956 ISSN 1522-4880 Language eng DOI 10.1109/ICIP40778.2020.9190864 Indigenous content off HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30147444 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 21 Jan 2021, 13:24:44 EST Thu, 21 Jan 2021, 13:25:16 EST Fri, 22 Jan 2021, 04:02:11 EST Fri, 22 Jan 2021, 05:06:04 EST Wed, 24 Feb 2021, 11:40:52 EST Wed, 24 Feb 2021, 11:43:01 EST Wed, 24 Feb 2021, 15:01:23 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 17 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 21 Jan 2021, 13:25:16 EST

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