GPU Based Real-time Floating Object Detection System

被引：0
|
作者：
Yang Jie [1 ]
Meng Jian-min [2 ]
机构：
[1] Southwest Forestry Univ, Fac Machinery &Transportat, Kunming 650224, Yunnan, Peoples R China
[2] Patent Examinat Cooperat Ctr SIPO, Beijing 100081, Peoples R China
来源：
Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016) | 2016年 / 67卷
关键词：
Object detection; GPU; Motion Estimation; Parallel Processing;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：558 / 564
页数：7
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