GPU Based Real-time Floating Object Detection System
Authors
Jie Yang, Jian-min Meng
Corresponding Author
Jie Yang
Available Online September 2016.
- DOI
- 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/).
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 - 10.2991/icence-16.2016.106 ID - Yang2016/09 ER -