[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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采用相关滤波的水下海参目标跟踪

参考文献/References:
[1] 郭传鑫, 李振波, 乔曦, 等. 基于融合显著图与GrabCut算法的水下海参图像分割[J]. 农业机械学报, 2015(S1):147-152 GUO Chuanxin, LI Zhenbo, QIAO Xi, et al. Image segmentation of underwater sea cucumber using GrabCut with saliency map[J]. Transactions of the Chinese society for agricultural machinery, 2015(S1):147-152
[2] 唐旭东, 庞永杰, 张赫, 等. 基于单目视觉的水下机器人管道检测[J]. 机器人, 2010, 32(5):592-600 TANG Xudong, PANG Yongjie, ZHANG He, et al. Underwater pipeline detection by AUV based on monocular vision[J]. Robot, 2010, 32(5):592-600
[3] 曾文静, 徐玉如, 万磊, 等. 自主式水下机器人的光视觉管道探测跟踪系统[J]. 上海交通大学学报, 2012, 46(2):178-183, 189 ZENG Wenjing, XU Yuru, WAN Lei, et al. Robotics vision-based system of autonomous underwater vehicle for an underwater pipeline tracker[J]. Journal of Shanghai Jiaotong University, 2012, 46(2):178-183, 189
[4] 吴利红, 许文海, 王利鹏. AUV水下终端对接目标识别与定位技术[J]. 大连海事大学学报, 2014, 40(2):81-85 WU Lihong, XU Wenhai, WANG Lipeng. Dock position and pose estimation algorithm for AUV underwater terminal docking[J]. Journal of Dalian Maritime University, 2014, 40(2):81-85
[5] WU Yi, LIM J, YANG M H. Online object tracking:a benchmark[C]//Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition. Portland, OR, USA, 2013:2411-2418.
[6] BOLME D S, BEVERIDGE J R, DRAPER B A, et al. Visual object tracking using adaptive correlation filters[C]//The Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2010.San Francisco, CA, USA, 2010:13-18.
[7] HENRIQUES J F, CASEIRO R, MARTINS P, et al. Exploiting the circulant structure of tracking-by-detection with kernels[C]//Proceedings of the 12th European Conference on Computer Vision Computer Vision-ECCV 2012. Florence, Italy, 2012:702-715.
[8] HENRIQUES J F, CASEIRO R, MARTINS P, et al. High-speed tracking with kernelized correlation filters[J]. IEEE transactions on pattern analysis and machine intelligence, 2015, 37(3):583-596.
[9] 杨德东, 蔡玉柱, 毛宁, 等. 采用核相关滤波器的长期目标跟踪[J]. 光学精密工程, 2016, 24(8):2037-2049 YANG Dedong, CAI Yuzhu, MAO Ning, et al. Long-term object tracking based on kernelized correlation Filters[J]. Optics and precision engineering, 2016, 24(8):2037-2049
[10] ZHANG Kaihua, ZHANG Lei, LIU Qingshan, et al. Fast visual tracking via dense spatio-temporal context learning[C]//Proceedings of the 13th European Conference on Computer Vision. Zurich, Switzerland, 2014:127-141.
[11] 张雷, 王延杰, 刘艳滢, 等. 基于相关滤波器的视觉目标跟踪方法[J]. 光电子·激光, 2015, 26(7):1349-1357 ZHANG Lei, WANG Yanjie, LIU Yanying, et al. Visual object tracking algorithm based on correlation filters[J]. Journal of optoelectronics laser, 2015, 26(7):1349-1357
[12] 段伟伟, 杨学志, 方帅, 等. 分块核化相关滤波目标跟踪[J]. 计算机辅助设计与图形学学报, 2016, 28(7):1160-1168 DUAN Weiwei, YANG Xuezhi, FANG Shuai, et al. Block-based kernelized correlation filters object tracking[J]. Journal of computer-aided design and computer graphics, 2016, 28(7):1160-1168
[13] 邢运龙, 李艾华, 崔智高, 等. 改进核相关滤波的运动目标跟踪算法[J]. 红外与激光工程, 2016, 45(S1):214-221 XING Yunlong, LI Aihua, CUI Zhigao, et al. Moving target tracking algorithm based on improved Kernelized correlation filter[J]. Infrared and laser engineering, 2016, 45(S1):214-221
[14] DANELLJAN M, H?GER G, KHAN F S, et al. Accurate scale estimation for robust visual tracking[C]//Proceedings of the British Machine Vision Conference. Sweden, 2014:65.1-65.11.
[15] JIA Xu, LU Huchuan, YANG M H. Visual tracking via adaptive structural local sparse appearance model[C]//Proceedings of 2012 IEEE Conference on Computer Vision and Pattern Recognition. Providence, RI, USA, 2012:1822-1829.
[16] ZHONG Wei, LU Huchuan, YANG M H. Robust object tracking via sparsity-based collaborative model[C]//Proceedings of 2012 IEEE Conference on Computer Vision and Pattern Recognition. Providence, RI, USA, 2012:1838-1845.
[17] 程子一, 刘志林. 改进的核相关滤波算法在自航模动态目标跟踪应用[J]. 应用科技, 2019, 46(1):36-42. CHENG Ziyi, LIU Zhilin. Application of improved kernel correlation filtering algorithm in small ship dynamic target tracking[J]. Applied science and technology, 2019,46(1):36-42.
[18] 朱齐丹, 韩瑜, 蔡成涛. 全景视觉非线性核相关滤波目标跟踪技术[J]. 哈尔滨工程大学学报, 2018, 39(7):1220-1226 ZHU Qidan, HAN Yu, CAI Chengtao. Omni-directional visual object tracking using nonlinear kernelized correlation filters[J]. Journal of Harbin Engineering University, 2018, 39(7):1220-1226
[19] 诸小熊, 江加和. 基于核相关滤波器的目标跟踪算法[J]. 应用科技, 2017, 44(3):48-53 ZHU Xiaoxiong, JIANG Jiahe. Visual tracking algorithm based on kernelized correlation filters[J]. Applied science and technology, 2017, 44(3):48-53

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

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