现代电子技术2024，Vol.47Issue(20)：153-159,7.DOI:10.16652/j.issn.1004-373x.2024.20.024
基于DF-Track的水下鱼体跟踪方法
Method of underwater fish body tracking based on DF-Track
摘要
Abstract
Fish tracking is a crucial step in analyzing fish behavior and assessing their health status.However,due to the characteristics of real underwater aquaculture fish schools,such as nonlinear motion,high appearance similarity,mutual occlusion between fish bodies,and severe loss of feature information,multi-target tracking of fish is a highly challenging task.To address the issues of artifacts caused by underwater fish body reflection,as well as the fragmentation of tracking trajectories due to nonlinear fish motion and mutual occlusion,an underwater multi-fish tracking model DF-Track is proposed.In this model,the tracking by detection(TBD)paradigm based on detection is adopted,and the aggregated pixel-focused attention(APFA)mechanism is introduced into the C2f structure of YOLOv8 to improve the ability to extract image features during the forward process.The SDI multi-level feature fusion module is used to redesign the feature fusion section in YOLOv8,reducing the conflicts in feature information at different levels during the feature fusion stage.Then,an optimized trajectory management tracking model,DF-Track,is proposed,and Focal-EIoU is introduced to compensate for motion estimation deviations in the matching space,so as to balance geometric consistency.The experimental results show that,in comparison with original YOLOv8,the accuracy of the proposed algorithm is increased by 1.7%,and the average accuracy is increased by 2.1%;in comparison with other MOT tracking algorithms,DF-Track can realize 70.9%in HOTA,91.9%in MOTA and 80.4%in IDF1.It proves that DF-Track model has better performance in underwater fish tracking task.关键词
多目标跟踪/水下鱼体/DF-Track模型/非线性运动/几何一致性/运动估计偏差补偿Key words
multi-target tracking/underwater fish body/DF-Track model/nonlinear motion/geometric consistency/motion estimation deviation compensation分类
信息技术与安全科学引用本文复制引用
吴江,李然,范利利,王宁,王客程..基于DF-Track的水下鱼体跟踪方法[J].现代电子技术,2024,47(20):153-159,7.基金项目
辽宁省教育厅科研项目(LJKZ0730) （LJKZ0730）
中国医药教育协会2022重大科学攻关问题和医药技术难题重点课题(2022KTM036) （2022KTM036）
