Posture tracking of multiple individual fish for behavioral monitoring with visual sensors

doi:10.1016/j.ecoinf.2016.07.004

YIC-IR > 中国科学院海岸带环境过程与生态修复重点实验室 > 海岸带环境工程技术研究与发展中心

	Posture tracking of multiple individual fish for behavioral monitoring with visual sensors
	Xia, Chunlei1,2 ; Chon, Tae-Soo 3; Liu, Yuedan 4; Chi, Jing 5; Lee, JangMyung 2
发表期刊	ECOLOGICAL INFORMATICS
ISSN	1574-9541
	2016-11-01
卷号	36 页码:190-198
关键词	Fish Pose Measurement Head And Tail Identification Movement Patterns Fish Aggregation Behavioral Analysis Behavioral Sensing
DOI	10.1016/j.ecoinf.2016.07.004
英文摘要	A novel scheme for the behavioral monitoring of multiple fish is presented based on measurements of the fish posture. Image identification of the fish head and tail is proposed by examining the gray level appearance features. A simplified posture of fish was calculated from its head and centroid. Multiple individual tracking was developed by incorporating the fish posture and global nearest neighbor. The proposed tracking scheme was tested with 2-5 individual Zebra fish (Cyprinidae, Danio rerio) under laboratory conditions. The experimental results confirmed the stability of the identification of a fish head and tail and a robust tracking performance was achieved. The proposed method could accurately record the movement trajectories and posture information of each individual. The tracking errors were only 0.278%-1.572% for 2-5 individual fish while the posture measurement error rates were less than 0.16%. Furthermore, the movement patterns of the fish, e.g., angular variations and distribution of the movement angle, were investigated from the behavioral data, which revealed the advantages of the proposed posture measurement for behavioral studies. The aggregation behavior of multiple fish was also analyzed to reveal the interaction patterns of the individuals in response to the spatial formation of the neighbors. (C) 2016 Elsevier B.V. All rights reserved.
文章类型	Article
资助机构	National Natural Science Foundation of China(41406112 ; 41501538)
收录类别	SCI
语种	英语
关键词[WOS]	IMAGE-PROCESSING SYSTEM ; MEDAKA ORYZIAS-LATIPES ; SWIMMING BEHAVIOR ; QUANTIFICATION ; RESPONSES ; ETHOVISION ; DIAZINON ; EXPOSURE
研究领域[WOS]	Environmental Sciences & Ecology
WOS记录号	WOS:000390970000021
引用统计	被引频次：18[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/19246
专题	中国科学院海岸带环境过程与生态修复重点实验室_海岸带环境工程技术研究与发展中心中国科学院海岸带环境过程与生态修复重点实验室
作者单位	1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Res Ctr Coastal Environm Engn & Technol Shandong, Yantai 264003, Peoples R China 2.Pusan Natl Univ, Sch Elect Engn, Pusan 609735, South Korea 3.Pusan Natl Univ, Dept Biol Sci, Pusan 609735, South Korea 4.MEP, South China Inst Environm Sci, Key Lab Water & Air Pollut Control Guangdong Prov, Guangzhou 510065, Guangdong, Peoples R China 5.Chinese Acad Sci, Shandong Technol Transfer Ctr, Yantai Ctr, Yantai 264003, Peoples R China
推荐引用方式 GB/T 7714	Xia, Chunlei,Chon, Tae-Soo,Liu, Yuedan,et al. Posture tracking of multiple individual fish for behavioral monitoring with visual sensors[J]. ECOLOGICAL INFORMATICS,2016,36:190-198.
APA	Xia, Chunlei,Chon, Tae-Soo,Liu, Yuedan,Chi, Jing,&Lee, JangMyung.(2016).Posture tracking of multiple individual fish for behavioral monitoring with visual sensors.ECOLOGICAL INFORMATICS,36,190-198.
MLA	Xia, Chunlei,et al."Posture tracking of multiple individual fish for behavioral monitoring with visual sensors".ECOLOGICAL INFORMATICS 36(2016):190-198.