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Water Quality Monitoring Method Based on TLD 3D Fish Tracking and XGBoost
Joint Authors
Cheng, Shuhong
Zhang, Shijun
Li, Leihua
Zhang, Dianfan
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Aiming at the problem of water quality monitoring, this paper presents a method of biological water quality monitoring based on TLD (Tracking-Learning-Detection) framework and XGBoost (eXtreme Gradient Boosting).
Firstly, under the framework of TLD, an independent tracking system is designed; TLD captures 3D coordinate information of fish based on video and calculates the behavior of fish movement parameters which can reflect the change of water quality via processing the coordinate information of the fish body.
The data of coordinate information will be more prominent via the data processing.
The integration of all built XGBoost water quality monitoring model which is based on characteristic parameters; the model was used to analyze and evaluate fish behavior parameters under unknown water quality to achieve the purpose of water quality monitoring.
American Psychological Association (APA)
Cheng, Shuhong& Zhang, Shijun& Li, Leihua& Zhang, Dianfan. 2018. Water Quality Monitoring Method Based on TLD 3D Fish Tracking and XGBoost. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1207994
Modern Language Association (MLA)
Cheng, Shuhong…[et al.]. Water Quality Monitoring Method Based on TLD 3D Fish Tracking and XGBoost. Mathematical Problems in Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1207994
American Medical Association (AMA)
Cheng, Shuhong& Zhang, Shijun& Li, Leihua& Zhang, Dianfan. Water Quality Monitoring Method Based on TLD 3D Fish Tracking and XGBoost. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1207994
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207994