光学 精密工程, 2018, 26 (2): 492, 网络出版: 2018-03-21   

利用最佳伙伴相似性的改进空间正则化判别相关滤波目标跟踪

Improved SRDCF object tracking via the Best-Buddies Similarity
作者单位
河北工业大学 控制科学与工程学院,天津 300130
引用该论文

杨德东, 毛宁, 杨福才, 李雪晴. 利用最佳伙伴相似性的改进空间正则化判别相关滤波目标跟踪[J]. 光学 精密工程, 2018, 26(2): 492.

YANG De-dong, MAO Ning, YANG Fu-cai, LI Xue-qing. Improved SRDCF object tracking via the Best-Buddies Similarity[J]. Optics and Precision Engineering, 2018, 26(2): 492.

参考文献

[1] 管皓, 薛向阳, 安志勇. 在线单目标视频跟踪算法综述[J]. 小型微型计算机系统, 2017, 38(1): 147-153.

    GUAN H, XUE X R, AN ZH Y. Survey of video object tracking[J]. Journal of Chinese Computer Systems, 2017, 38(1): 147-153. (in Chinese)

[2] KALAL Z, MIKOLAJCZYK K, MATAS J. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(7): 1409-1422.

[3] 孙锐, 张东东, 高隽. 基于分层极限学习机和局部稀疏模型的视觉跟踪算法[J]. 模式识别与人工智能, 2017, 30(4): 302-313.

    SUN R, ZHANG D D, GAO J. Visual tracking via hierarchical extreme learning machine and local sparse model[J]. Pattern Recognition and Artificial Intelligence, 2017, 30(4): 302-313. (in Chinese)

[4] JIA X, LU HCH, YANG M H. Visual tracking via adaptive structural local sparse appearance model[C]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2012: 1822-1829.

[5] ZHONG W, LU HCH, YANG M H. Robust object tracking via sparsity-based collaborative model[C]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2012: 1838-1845.

[6] 黄丹丹, 孙怡. 基于稀疏子空间选择的在线目标跟踪[J]. 自动化学报, 2016, 42(7): 1077-1089.

    HAUNG D D, SUN Y. Online object tracking via sparse subspace selection[J]. Laser & Acta Automatica Sinica, 2016, 42(7): 1077-1089. (in Chinese)

[7] 刘文琢, 袁广林, 薛模根. 基于两阶段稀疏表示的稳健快速视觉跟踪[J]. 光学学报, 2016, 36(12): 183-189.

    LIU W ZH, YUAN G L, XUE M G. Robust fast visual tracking based on two-stage sparse representation[J]. Acta Optica Sinica, 2016, 36(12): 183-189. (in Chinese)

[8] HENRIQUES J F, CASEIRO R, MARTINS P, et al.. High-speed tracking with kernelized correlation filter[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 583-596.

[9] 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[J]. 光学 精密工程, 2016, 24(2): 448-459.

    ZHANG L, WANG Y J, SUN H M, et al.. Adaptive scale object tracking with kernelized correlation filters[J]. Opt. Precision Eng., 2016, 24(2): 448-459. (in Chinese)

[10] 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 D D, CAI Y ZH, MAO N, et al.. Long-term object tracking based on kernelized correlation filters[J]. Opt. Precision Eng., 2016, 24(8): 2037-2049. (in Chinese)

[11] DANELLJAN M, H GER G, KHAN F, et al.. Accurate scale estimation for robust visual tracking[C]. British Machine Vision Conference (BMVC), BMVC, 2014: 1-5.

[12] DANELLJAN M, H GER G, KHAN F S, et al.. Learning spatially regularized correlation filters for visual tracking[C]. IEEE International Conference on Computer Vision (ICCV), IEEE, 2015: 4310-4318.

[13] 毛宁, 杨德东, 杨福才, 等. 基于分层卷积特征的自适应目标跟踪[J]. 激光与光电子学进展, 2016, 53(12): 201-212.

    MAO N, YANG D D, YANG F C, et al.. Adaptive object tracking based on hierarchical convolution features[J]. Laser & Optoelectronics Progress, 2016, 53(12): 201-212. (in Chinese)

[14] 王暐, 王春平, 李军, 等. 特征融合和模型自适应更新相结合的相关滤波目标跟踪[J]. 光学 精密工程, 2016, 24(8): 2059-2066.

    WANG W, WANG CH P, LI J, et al. Correlation filter tracking based on feature fusing and model adaptive updating[J]. Opt. Precision Eng., 2016, 24(8): 2059-2066. (in Chinese)

[15] 潘振福, 朱永利. 多尺度估计的核相关滤波器目标跟踪方法[J]. 激光与光电子学进展, 2016, 53(10): 199-205.

    PAN ZH G, ZHU Y L. Kernelized correlation filters object tracking method with multi-scale estimation[J]. Laser & Optoelectronics Progress, 2016, 53(10): 199-205. (in Chinese)

[16] DEKEL T, ORON S, RUBINSTEIN M, et al.. Best-Buddies Similarity for robust template matching[C]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2015: 2021-2029.

[17] WU Y, LIM J, YANG M H. Online object tracking: A benchmark[C]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2013: 2411-2418.

[18] GAO J, LING H B, HU W M, et al.. Transfer learning based visual tracking with gaussian processes regression[C]. European Conference on Computer Vision (ECCV), Springer, 2014: 188-203.

[19] LI Y, ZHU J K. A scale adaptive kernel correlation filter tracker with feature integration[C]. European Conference on Computer Vision (ECCV), Springer, 2014: 254-265.

[20] HARE S, SAFFARI A, TORR P H S. Struck: Structured output tracking with kernels[C]. IEEE International Conference on Computer Vision (ICCV), IEEE, 2011: 263-270.

杨德东, 毛宁, 杨福才, 李雪晴. 利用最佳伙伴相似性的改进空间正则化判别相关滤波目标跟踪[J]. 光学 精密工程, 2018, 26(2): 492. YANG De-dong, MAO Ning, YANG Fu-cai, LI Xue-qing. Improved SRDCF object tracking via the Best-Buddies Similarity[J]. Optics and Precision Engineering, 2018, 26(2): 492.

本文已被 8 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!