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Distributed Real-Time Generative 3D Hand Tracking using Edge GPGPU Acceleration

Published: 10 June 2018 Publication History

Abstract

This work demonstrates a real-time 3D hand tracking application that runs via computation offloading. The proposed framework enables the application to run on low-end mobile devices such as laptops and tablets, despite the fact that they lack the sufficient hardware to perform the required computations locally. The network connection takes the place of a GPGPU accelerator and sharing resources with a larger workstation becomes the acceleration mechanism. The unique properties of a generative optimizer are examined and constitute a challenging use-case, since the requirement for real-time performance makes it very latency-sensitive.

References

[1]
R. Montella, S. Kosta, D. Oro, J. Vera, C. Fernández, C. Palmieri, D. Di Luccio, G. Giunta, M. Lapegna, and G. Laccetti, "Accelerating linux and android applications on low-power devices through remote gpgpu offloading," Concurrency and Computation: Practice and Experience, vol. 29, no. 24, 2017.
[2]
I. Oikonomidis, N. Kyriazis, and A. A. Argyros, "Efficient model-based 3d tracking of hand articulations using kinect," in British Machine Vision Conference (BMVC 2011), vol. 1, no. 2. Dundee, UK: BMVA, 2011, pp. 1--11.
[3]
A. Qammaz, S. Kosta, N. Kyriazis, and A. Argyros, "On the Feasibility of Real-Time 3D Hand Tracking using Edge GPGPU Acceleration," ArXiv e-prints, Apr. 2018.

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cover image ACM Conferences
MobiSys '18: Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services
June 2018
560 pages
ISBN:9781450357203
DOI:10.1145/3210240
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 10 June 2018

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