Ciliberto, Mathias and Roggen, Daniel (2019) WLCSSCuda: a CUDA accelerated template matching method for gesture recognition. ISWC 2019: International Symposium on Wearable Computers, London, 9-13 September 2019. Published in: Dunne, Lucy, Cakmakci, Ozan, Ward, Jamie, Unset, Unset, Unset, Unset and Unset, (eds.) Proceedings of the 2019 International Symposium on Wearable Computers. 32-34. Association for Computing Machinery ISBN 9781450368704
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Abstract
Template matching methods can benefit from multi-cores architecture in order to parallelise and accelerate the matching of multiple templates. We present WLCSSCuda: a GPU accelerated implementation of the Warping Longest Common Subsequence (WLCSS) pattern recognition algorithm. We evaluate our method on 4 NVIDIA GPUs and 4 multi-cores CPUs. We observe a 67-times speedup for the GPU implementation in the best case against the multithreaded CPU implementation.
Item Type: | Conference Proceedings |
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Keywords: | WLCSS; CUDA; GPU acceleration; Template Matching |
Schools and Departments: | School of Engineering and Informatics > Engineering and Design |
Research Centres and Groups: | Sensor Technology Research Centre |
Subjects: | Q Science > QA Mathematics T Technology > T Technology (General) |
Related URLs: | |
Depositing User: | Daniel Roggen |
Date Deposited: | 08 Aug 2019 09:49 |
Last Modified: | 21 Nov 2019 15:52 |
URI: | http://sro.sussex.ac.uk/id/eprint/85365 |
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