自适应特征融合的多尺度核相关滤波目标跟踪 下载: 1360次
陈法领, 丁庆海, 常铮, 陈宏宇, 罗海波, 惠斌, 刘云鹏. 自适应特征融合的多尺度核相关滤波目标跟踪[J]. 光学学报, 2020, 40(3): 0315001.
Faling Chen, Qinghai Ding, Zheng Chang, Hongyu Chen, Haibo Luo, Bin Hui, Yunpeng Liu. Multi-Scale Kernel Correlation Filter Algorithm for Visual Tracking Based on the Fusion of Adaptive Features[J]. Acta Optica Sinica, 2020, 40(3): 0315001.
[1] Yilmaz A, Javed O, Shah M. Object tracking: a survey[J]. ACM Computing Surveys, 2006, 38(4): 13.
[3] 卢湖川, 李佩霞, 王栋. 目标跟踪算法综述[J]. 模式识别与人工智能, 2018, 31(1): 61-76.
Lu H C, Li P X, Wang D. Visual object tracking:a survey[J]. Pattern Recognition and Artificial Intelligence, 2018, 31(1): 61-76.
[4] 罗海波, 许凌云, 惠斌, 等. 基于深度学习的目标跟踪方法研究现状与展望[J]. 红外与激光工程, 2017, 46(5): 0502002.
[5] BolmeD, Beveridge JR, Draper BA, et al. Visual object tracking using adaptive correlation filters[C]∥2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 13-18, 2010, San Francisco, CA, USA. New York: IEEE, 2010: 2544- 2550.
[6] Henriques JF, CaseiroR, MartinsP, et al. Exploiting the circulant structure of tracking-by-detection with kernels[M] ∥Fitzgibbon A, Lazebnik S, Perona P, et al. Computer vision-ECCV 2012. Lecture notes in computer science. Berlin, Heidelberg: Springer, 2012, 7575: 702- 715.
[7] 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.
[8] DanelljanM, Khan FS, FelsbergM, et al. Adaptive color attributes for real-time visual tracking[C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 2014: 1090- 1097.
[9] BertinettoL, ValmadreJ, GolodetzS, et al. Staple: complementary learners for real-time tracking[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 2016: 1401- 1409.
[10] 李聪, 鹿存跃, 赵珣, 等. 特征融合的尺度自适应相关滤波跟踪算法[J]. 光学学报, 2018, 38(5): 0515001.
[11] 沈秋, 严小乐, 刘霖枫, 等. 基于自适应特征选择的多尺度相关滤波跟踪[J]. 光学学报, 2017, 37(5): 0515001.
[12] 赵高鹏, 沈玉鹏, 王建宇. 基于核循环结构的自适应特征融合目标跟踪[J]. 光学学报, 2017, 37(8): 0815001.
[13] Qi YK, Zhang SP, QinL, et al. Hedged deep tracking[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 2016: 4303- 4311.
[14] 王鑫, 侯志强, 余旺盛, 等. 基于多层卷积特征融合的目标尺度自适应稳健跟踪[J]. 光学学报, 2017, 37(11): 1115005.
[15] DanelljanM, HägerG, Khan FS, et al.Accurate scale estimation for robust visual tracking[C]∥Proceedings of the British Machine Vision Conference 2014, September 1-5, 2014, Nottingham.UK: BMVA Press, 2014.
[16] LiY, Zhu JK. A scale adaptive kernel correlation filter tracker with feature integration[M] ∥Agapito L, Bronstein M, Rother C. Computer vision-ECCV 2014 Workshops. Lecture notes in computer science. Cham: Springer, 2015, 8926: 254- 265.
[17] Zhang KH, ZhangL, Liu QS, et al. Fast visual tracking via dense spatio-temporal context learning[M] ∥Fleet D, Pajdla T, Schiele B, et al. Computervision-ECCV 2014. Lecture notes in computer science. Cham: Springer, 2014, 8693: 127- 141.
[18] Wang MM, LiuY, Huang ZY. Large margin object tracking with circulant feature maps[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2017: 4800- 4808.
[19] LiuT, WangG, Yang QX. Real-time part-based visual tracking via adaptive correlation filters[C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 2015: 4902- 4912.
[20] BibiA, GhanemB. Multi-template scale-adaptive kernelized correlation filters[C]∥2015 IEEE International Conference on Computer Vision Workshop (ICCVW), December 7-13, 2015, Santiago, Chile. New York: IEEE, 2015: 613- 620.
[21] Ma J K, Luo H B, Hui B, et al. Robust scale adaptive tracking by combining correlation filters with sequential Monte Carlo[J]. Sensors, 2017, 17(3): 512.
[22] WuY, LimJ, Yang MH. Online object tracking: a benchmark[C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2013, Portland, Oregon. New York: IEEE, 2013: 2411- 2418.
陈法领, 丁庆海, 常铮, 陈宏宇, 罗海波, 惠斌, 刘云鹏. 自适应特征融合的多尺度核相关滤波目标跟踪[J]. 光学学报, 2020, 40(3): 0315001. Faling Chen, Qinghai Ding, Zheng Chang, Hongyu Chen, Haibo Luo, Bin Hui, Yunpeng Liu. Multi-Scale Kernel Correlation Filter Algorithm for Visual Tracking Based on the Fusion of Adaptive Features[J]. Acta Optica Sinica, 2020, 40(3): 0315001.