[1]刘吉伟,魏鸿磊,裴起潮,等.采用相关滤波的水下海参目标跟踪[J].智能系统学报,2019,14(3):525-532.[doi:10.11992/tis.201711037]
LIU Jiwei,WEI Honglei,PEI Qichao,et al.Underwater sea cucumber target tracking algorithm based on correlation filtering[J].CAAI Transactions on Intelligent Systems,2019,14(3):525-532.[doi:10.11992/tis.201711037]
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LIU Jiwei,WEI Honglei,PEI Qichao,et al.Underwater sea cucumber target tracking algorithm based on correlation filtering[J].CAAI Transactions on Intelligent Systems,2019,14(3):525-532.[doi:10.11992/tis.201711037]
采用相关滤波的水下海参目标跟踪
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
14
期数:
2019年第3期
页码:
525-532
栏目:
学术论文—智能系统
出版日期:
2019-05-05
- Title:
- Underwater sea cucumber target tracking algorithm based on correlation filtering
- Keywords:
- visual tracking; circulant matrices; discrete Fourier transform; kernel methods; ridge regression; correlation filters; capturing sea cucumbers; scale estimation
- 分类号:
- TP391
- 摘要:
- 针对在使用水下机器人采捕时需要实时跟踪定位海参目标的问题，提出了一种基于核相关滤波器的海参目标追踪算法。在初始帧中，根据已知的海参目标的外形特征，将海参整体分为九宫格块，通过边界块与中心块的比较定位海参的两头部位置；使用KCF算法在后续帧中追踪海参两个头部，通过两个模块之间的距离变化来估计海参尺度并计算出目标海参的位置。实验结果表明：在追踪水下海参时，该追踪算法的精确度、运行速度、成功率均高于其他实验算法。
- Abstract:
- This study proposes a type of sea cucumber target tracking algorithm based on the kernel correlation filter (KCF) to find a solution for real-time tracking while capturing a sea cucumber using an underwater robot. In the initial frame, the image block that contains the target sea cucumber is divided into nine sub-blocks based on the characteristics of the sea cucumber, including its appearance and the positioning of its two heads by comparing the boundary blocks with the central block. Further, the KCF algorithm is used to track the two heads of the sea cucumber in the subsequent frames, estimate the scale, and calculate the location of the sea cucumber based on the distance variation between the two modules. The experimental results exhibit that the accuracy, running speed, and success rate of the tracking algorithm are higher than those of other experimental algorithms.
- 参考文献/References:
-
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备注/Memo
收稿日期:2017-11-29。
基金项目:辽宁省自然科学基金项目（2015020027）.
作者简介:刘吉伟,男,1993年生,硕士研究生,主要研究方向为机器视觉;魏鸿磊,男,1973年生,副教授,主要研究方向为机器视觉、机电一体化技术。主持省自然科学基金1项,参与国家自然科学基金1项。发表学术论文20余篇,被SCI、EI和ISTP检索10余篇;裴起潮,女,1992年生,硕士研究生,主要研究方向为视觉测量。
通讯作者:魏鸿磊.E-mail:weihl2005@163.com
更新日期/Last Update:
1900-01-01