A computer-based vision method to automatically determine the 2-dimensional flow-field preference of fish
文献类型:期刊论文
作者 | Shi, Xiaotao2; Xu, Jiawei2; Huang, Zhiyong2; Katopodis, Christos3; Ban, Xuan4; Kynard, Boyd1,5; Tan, Junjun2; Zhu, Haifeng2; Lin, Chenyu2 |
刊名 | JOURNAL OF HYDRAULIC RESEARCH
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出版日期 | 2019-07-04 |
卷号 | 57期号:4页码:598-602 |
关键词 | Automatic tracking computer vision fish trajectories flow-fish interface fuzzy c-means clustering |
ISSN号 | 0022-1686 |
DOI | 10.1080/00221686.2018.1538020 |
英文摘要 | Ecohydraulics research is just beginning to have all the tools needed to examine the 2-dimensional velocity preference of fish in flow fields. We developed an experimental system with a gradient flow field in a test channel to observe flow-field preference of juvenile silver carp, Hypophthalmichthys molitris. We used automatic methods, which acquire fish swimming tracks using computer vision (video). We examined the flow field using hydrodynamic software simulation; then, using the fuzzy c-means clustering algorithm, each frame of the flow field was divided into areas of different velocity. Finally, the automatic fish trajectory tracking was coupled with hydraulic simulation of the flow field to compute an estimate of the time fish spent in each velocity area. To validate results from the automatic method, we used manual examination of videos of swimming juvenile silver carp to analyse their preferred velocity fields. Results show the automatic method greatly reduces processing time compared to the manual method. |
资助项目 | National Natural Science Foundation of China[51579136] ; National Natural Science Foundation of China[51709152] ; Educational Commission of Hubei Province[T201703] |
WOS研究方向 | Engineering ; Water Resources |
语种 | 英语 |
WOS记录号 | WOS:000474494900012 |
出版者 | TAYLOR & FRANCIS LTD |
源URL | [http://202.127.146.157/handle/2RYDP1HH/7614] ![]() |
专题 | 中国科学院武汉植物园 |
通讯作者 | Ban, Xuan |
作者单位 | 1.BK Riverfish LLC, Amherst, MA USA 2.China Three Gorges Univ, Minist Educ, Engn Res Ctr Ecoenvironm Gorges Reservoir Reg 3, Yichang, Peoples R China 3.Katopodis Ecohydraul Ltd, Winnipeg, MB, Canada 4.Chinese Acad Sci, Inst Geodesy & Geophys, Key Lab Monitoring & Estimate Environm & Disaster, Wuhan, Hubei, Peoples R China 5.Univ Massachusetts, Environm Conservat Dept, Amherst, MA 01003 USA |
推荐引用方式 GB/T 7714 | Shi, Xiaotao,Xu, Jiawei,Huang, Zhiyong,et al. A computer-based vision method to automatically determine the 2-dimensional flow-field preference of fish[J]. JOURNAL OF HYDRAULIC RESEARCH,2019,57(4):598-602. |
APA | Shi, Xiaotao.,Xu, Jiawei.,Huang, Zhiyong.,Katopodis, Christos.,Ban, Xuan.,...&Lin, Chenyu.(2019).A computer-based vision method to automatically determine the 2-dimensional flow-field preference of fish.JOURNAL OF HYDRAULIC RESEARCH,57(4),598-602. |
MLA | Shi, Xiaotao,et al."A computer-based vision method to automatically determine the 2-dimensional flow-field preference of fish".JOURNAL OF HYDRAULIC RESEARCH 57.4(2019):598-602. |
入库方式: OAI收割
来源:武汉植物园
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