一种多特征融合的目标跟踪算法

梁慧慧; 何秋生; 贾伟振; 张卫峰

doi:10.3788/YJYXS20203506.0583

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一种多特征融合的目标跟踪算法

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- 一种多特征融合的目标跟踪算法
- Multi-feature fusion target tracking algorithm
- 液晶与显示 2020年35卷第6期页码：583-594
- 作者机构：
  
  太原科技大学电子信息工程学院, 山西太原 030024
- 作者简介：
  
  [ "梁慧慧(1995-), 女, 山西临汾人, 硕士研究生, 2017年于太原科技大学获得学士学位, 主要从事机器视觉与智能信息处理方面的研究。E-mail:1059081062@qq.com" ]
  [ "何秋生(1974-), 男, 山西孝义人, 博士, 教授, 2007年于中国矿业大学(北京)获得博士学位, 主要从事控制理论及应用、机器视觉方面的研究。E-mail:heqs2008@126.com" ]
- 基金信息：
  
  先进控制与智能信息系统山西省重点实验室(201805D111001);山西省重点研发计划重点项目(201703D111027);山西省研究生教育改革研究课题(2019JG175)
- DOI：10.3788/YJYXS20203506.0583
  中图分类号： TP391.4
- 收稿日期：2019-11-19，
  
  修回日期：2020-03-09，
  
  录用日期：2020-3-9，
  
  纸质出版日期：2020-06-05
- 稿件说明：
移动端阅览
梁慧慧, 何秋生, 贾伟振, 等. 一种多特征融合的目标跟踪算法[J]. 液晶与显示, 2020,35(6):583-594.

Hui-hui LIANG, Qiu-sheng HE, Wei-zhen JIA, et al. Multi-feature fusion target tracking algorithm[J]. Chinese journal of liquid crystals and displays, 2020, 35(6): 583-594.
梁慧慧, 何秋生, 贾伟振, 等. 一种多特征融合的目标跟踪算法[J]. 液晶与显示, 2020,35(6):583-594. DOI： 10.3788/YJYXS20203506.0583.

Hui-hui LIANG, Qiu-sheng HE, Wei-zhen JIA, et al. Multi-feature fusion target tracking algorithm[J]. Chinese journal of liquid crystals and displays, 2020, 35(6): 583-594. DOI： 10.3788/YJYXS20203506.0583.

摘要

针对目标发生形变、遮挡以及尺度变化导致跟踪失败的情况，本文提出了一种改进的多特征融合的目标跟踪算法。首先，通过计算方向梯度直方图(Histogram of Oriented Gridients，HOG)和颜色命名(Color Names，CN)特征响应相邻两帧峰值旁瓣比(Peak-to-Sidelobe Ratio，PSR)的差值得到这两种特征的融合权重，用得到的权重对HOG和CN特征响应进行自适应融合，将第一次融合后的响应与颜色直方图特征获得的响应以固定权重进行二次融合，并根据融合结果确定目标中心位置。其次，结合最终目标响应值的PSR与其均值的差值变化，对位置相关滤波器和尺度相关滤波器的学习速率进行动态调整。最后，在OTB50标准数据集上进行实验验证，并和其他跟踪算法进行对比。实验结果表明：本文算法在多项性能指标上均优于其他算法，其中精度为81.9%，成功率为61.1%，能有效适应形变、遮挡以及尺度变化场景下的目标跟踪。

Abstract

Aiming at the situation that the target deformation

occlusion and scale variation lead to tracking failure

an improved multi-feature fusion target tracking algorithm is proposed. Firstly

the fusion weights of the two features are obtained by calculating the difference between the two adjacent PSRs of the HOG(Histogram of Oriented Gridients) and CN(Color Names)

and the HOG and the CN are adaptively fused by using the obtained weights. The response obtained by the first merged response and the color histogram feature is secondarily fused with a fixed weight

and the target center position is determined according to the fusion result. Then

the learning rate of the position correlation filter and the scale correlation filter is dynamically adjusted by the difference between the PSR(Peak-to-Sidelobe Ratio) of the response and its mean value. Finally

the experimental verification is performed on the OTB50 standard dataset

and compared with other algorithms. The results show that the proposed algorithm outperforms other algorithms in many performance indicators. The accuracy is 81.9%

and the success rate is 61.1%. It can effectively adapt to target tracking under deformation

occlusion and scale variation scenarios.

关键词

Keywords

references

张可 , 杨灿坤 , 周春平 , 等 . 无人机视频图像运动目标检测算法综述 . 液晶与显示 , 2019 . 34 ( 1 ): 98 - 109 . http://d.old.wanfangdata.com.cn/Periodical/yjyxs201901014 http://d.old.wanfangdata.com.cn/Periodical/yjyxs201901014 .

K ZHANG , C K YANG , C P ZHOU , 等 . Review of moving target detection algorithms for UAV video images . Chinese Journal of Liquid Crystals and Displays , 2019 . 34 ( 1 ): 98 - 109 . http://d.old.wanfangdata.com.cn/Periodical/yjyxs201901014 http://d.old.wanfangdata.com.cn/Periodical/yjyxs201901014 .

张微 , 康宝生 . 相关滤波目标跟踪进展综述 . 中国图象图形学报 , 2017 . 22 ( 8 ): 1017 - 1033 . http://d.old.wanfangdata.com.cn/Periodical/zgtxtxxb-a201708001 http://d.old.wanfangdata.com.cn/Periodical/zgtxtxxb-a201708001 .

W ZHANG , B S KANG . Recent advances in correlation filter-based object tracking:a review . Journal of Image and Graphics , 2017 . 22 ( 8 ): 1017 - 1033 . http://d.old.wanfangdata.com.cn/Periodical/zgtxtxxb-a201708001 http://d.old.wanfangdata.com.cn/Periodical/zgtxtxxb-a201708001 .

BOLME D S, BEVERIDGE J R, DRAPER B A, et al . Visual object tracking using adaptive correlation filters[C]// Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition . San Francisco, CA, USA: IEEE, 2010: 2544-2550.

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 . Florence, Italy: Springer, 2012: 702-715.

J F HENRIQUES , R CASEIRO , P MARTINS , 等 . High-speed tracking with kernelized correlation filters . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2015 . 37 ( 3 ): 583 - 596 . DOI: 10.1109/TPAMI.2014.2345390 http://doi.org/10.1109/TPAMI.2014.2345390 .

DANELLJAN M, KHAN F S, FELSBERG M, et al . Adaptive color attributes for real-time visual tracking[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . Columbus, USA: IEEE, 2014: 1090-1097.

LI Y, ZHU J K. A scale adaptive kernel correlation filter tracker with feature integration[C]// Proceedings of the 2014 European Conference on Computer Vision . Zurich, Switzerland: Springer, 2015: 254-265.

DANELLJAN M, HÄGER G, KHAN F S, et al . Learning spatially regularized correlation filters for visual tracking[C]// Proceedings of the IEEE International Conference on Computer Vision . Santiago, Chile: IEEE, 2015: 4310-4318.

DANELLJAN M, ROBINSON A, KHAN F S, et al . Beyond correlation filters: learning continuous convolution operators for visual tracking[C]// Proceedings of the 14th European Conference on Computer Vision . Amsterdam, The Netherlands: Springer, 2016: 472-488.

DANELLJAN M, BHAT G, KHAN F S, et al . ECO: efficient convolution operators for tracking[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . Honolulu: IEEE, 2017: 6931-6939.

LUKEŽIC A, VOJÍR T, CEHOVIN L, MATAS J, et al . Discriminative correlation filter with channel and spatial reliability[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . Honolulu, HI, USA: IEEE, 2017: 4847-4856.

王民 , 石新源 , 王稚慧 , 等 . 基于Vibe和时空上下文的运动手势跟踪算法 . 液晶与显示 , 2018 . 33 ( 1 ): 92 - 98 . http://d.old.wanfangdata.com.cn/Periodical/yjyxs201801013 http://d.old.wanfangdata.com.cn/Periodical/yjyxs201801013 .

M WANG , X Y SHI , Z H WANG , 等 . Moving gesture tracking algorithm based on vibe and space-time context . Chinese Journal of Liquid Crystals and Displays , 2018 . 33 ( 1 ): 92 - 98 . http://d.old.wanfangdata.com.cn/Periodical/yjyxs201801013 http://d.old.wanfangdata.com.cn/Periodical/yjyxs201801013 .

韩亚君 , 杨德东 , 李勇 , 等 . 基于多特征融合相关滤波的红外目标跟踪 . 液晶与显示 , 2019 . 34 ( 2 ): 177 - 187 . http://d.old.wanfangdata.com.cn/Periodical/yjyxs201902009 http://d.old.wanfangdata.com.cn/Periodical/yjyxs201902009 .

Y J HAN , D D YANG , Y LI , 等 . Infrared target tracking based on correlation filter with multi-features fusion . Chinese Journal of Liquid Crystals and Displays , 2019 . 34 ( 2 ): 177 - 187 . http://d.old.wanfangdata.com.cn/Periodical/yjyxs201902009 http://d.old.wanfangdata.com.cn/Periodical/yjyxs201902009 .

BERTINETTO L, VALMADRE J, GOLODETZ S, et al . Staple: complementary learners for real-time tracking[C]// Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition . Las Vegas, NV, USA: IEEE, 2016: 1401-1409.

DANELLJAN M, HÄGER G, KHAN F S, et al . Accurate scale estimation for robust visual tracking[C]// Proceedings of the 2014 British Machine Vision Conference . Nottingham: BMVC Press, 2014: 65.1-65.11.

MOSTAFAVI H, SLOUTSKY A, JEUNG A G. Template matching method for image-based detection and tracking of irregular shaped targets: US, US9008398[P]. 2015-04-14.

WU Y, LIM J, YANG M H. Online object tracking: a benchmark[C]// Proceedings of IEEE Conference on Computer Vision and Pattern Recognition . Portland, OR, USA: IEEE, 2013: 2411-2418.

HUANG D F, LUO L, WEN M, et al . Enable scale and aspect ratio adaptability in visual tracking with detection proposals[C]// Proceedings of 2015 British Machine Vision Conference . Swansea, UK: BMVA Press, 2015: 185.1-185.12.

MUELLER M, SMITH N, GHANEM B. Context-aware correlation filter tracking[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . Honolulu, HI, USA: IEEE, 2017: 1387-1395.

张雷 , 王延杰 , 孙宏海 , 等 . 采用核相关滤波器的自适应尺度目标跟踪 . 光学精密工程 , 2016 . 24 ( 2 ): 448 - 459 . http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201602026 http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201602026 .

L ZHANG , Y J WANG , H H SUN , 等 . Adaptive scale object tracking with kernelized correlation filters . Optics and Precision Engineering , 2016 . 24 ( 2 ): 448 - 459 . http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201602026 http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201602026 .

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