A multi-target tracking platform for zebrafish based on deep neural network

被引：0
|
作者：
Sun, Mingzhu [1 ,2 ]
Li, Wensheng [1 ,2 ]
Jiao, Zihao [1 ,2 ]
Zhao, Xin [1 ,2 ]
机构：
[1] Nankai Univ, Inst Robot & Automat Informat Syst, Tianjin 300071, Peoples R China
[2] Tianjin Key Lab Intelligent Robot, Tianjin 300071, Peoples R China
来源：
2019 9TH IEEE ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2019) | 2019年
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Zebratish has been widely used in the field of biological behavior, for it is an excellent model organism. Many valuable biological data can be obtained by analyzing the behavioral characteristics of zebrafish. A large amount of data will be generated when studying the behavior of zebratish. The current artificial statistical methods are inefficient and unpractical. Therefore, it is of great importance to get access to track the behavior of zebratish automatically and accurately through software. We have proposed a zebrafish multi -target tracking algorithm based on deep convolution neural network to identify the location of multi-zebrafish with high tracking accuracy and speed. The tracking algorithm performs well in different videos with various numbers and sizes of zebratish. It can greatly improve the efficiency of biological behavioral experiments.
引用
收藏
页码：637 / 642
页数：6
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