A large-scale particle image velocimetry system based on dual-camera field of view stitching

被引：0

作者：

Wang, Fengzhou ^{[1
]}

Xu, Baohua ^{[2
]}

Xu, Mengxi ^{[3
]}

Shi, Jianqiang ^{[3
]}

Jia, Lang ^{[1
]}

Li, Chenming ^{[1
]}

机构：

[1] College of Computer and Information Engineering, Hohai University, Nanjing 211100, China

[2] Yangtze River Estuary Survey Bureau of Hydrology and Water Resource CWRC, Ministry of Water Resources, Shanghai 200136, China

[3] School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China

来源：

Sensors and Transducers | 2013年 / 157卷 / 10期

关键词：

Internet protocols - Flow velocity - Flow visualization - Velocimeters - Video cameras - Velocity measurement;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Large-Scale Particle Image Velocimetry (LSPIV) is an effective method for the measurement of the river surface flow velocity. For the wide cross-section river, in the near-field area of river surface image there are small and clear targets. But the flow tracers are almost invisible in the far-field area because of the resolution limit of one single video camera, which makes it difficult to complete the velocimetry task. So a dual-camera based LSPIV system has been developed for monitoring the wide cross-section river. This system is based on two digital Internet Protocol (IP) video cameras either of which captures more than half of the river surface with high resolution. And then the developed system stitches the two images into one covering the entire wide crosssection rivers. In the far field of river, the accuracy of the vector increases from 20.4% to 80.4%. © 2013 IFSA.

引用

页码：234 / 239

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