Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)

GPU Based Real-time Floating Object Detection System

Authors
Jie Yang, Jian-min Meng
Corresponding Author
Jie Yang
Available Online September 2016.
DOI
https://doi.org/10.2991/icence-16.2016.106How to use a DOI?
Keywords
Object detection; GPU; Motion Estimation; Parallel Processing
Abstract

A GPU-based floating object detection scheme is presented in this paper which is designed for floating mine Detection tasks. This system uses contrast and motion information to eliminate as many false positives as possible while avoiding false negatives. The GPU computation platform is deployed to allow detecting objects in real-time. From the experimental results, it is shown that with certain configuration, the GPU-based scheme can speed up the computation up to one thousand times compared to the CPU-based scheme.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-229-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icence-16.2016.106How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jie Yang
AU  - Jian-min Meng
PY  - 2016/09
DA  - 2016/09
TI  - GPU Based Real-time Floating Object Detection System
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 558
EP  - 564
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.106
DO  - https://doi.org/10.2991/icence-16.2016.106
ID  - Yang2016/09
ER  -