A comparison of embedded deep learning methods for person detection

Kim, Chloe Eunhyang, Dar Oghaz, Mahdi Maktab, Fajtl, Jiri, Argyriou, Vasileios and Remagnino, Paolo (2019) A comparison of embedded deep learning methods for person detection. In: 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; 25-27 Feb 2019, Prague, Czech Republic.

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Item Type: Conference or Workshop Item (Paper)
Event Title: 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Additional Information: Published in: Tremeau, Alain, Farinella, Giovanni Maria, Braz, Jose (eds.) (2019) Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Setubal, Portugal : Science and Technology Publications. Volume 5, pp.459-465. ISBN 9789897583544. This work is co-funded by the EU-H2020 within the MONICA project under grant agreement number 732350. The Titan X Pascal used for this research was donated by NVIDIA.
Research Area: Computer science and informatics
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing
Faculty of Science, Engineering and Computing > School of Computer Science and Mathematics
Depositing User: Kevin Hiscox
Date Deposited: 14 Feb 2020 11:41
Last Modified: 14 Feb 2020 11:41
URI: http://eprints.kingston.ac.uk/id/eprint/43708

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