Laser & Optoelectronics Progress, Volume. 56, Issue 2, 021502(2019)
Long Time Target Tracking Based on Kernel Correlation Filtering
[3] Hare S, Saffari A. Torr P H S. Struck: structured output tracking with kernels. [C]∥2011 International Conference on Computer Vision, November 6-13, 2011, Barcelona, Spain. New York: IEEE, 263-270(2011).
[8] Liu T, Wang G, Yang Q X. Real-time part-based visual tracking via adaptive correlation filters. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition, June 7-12, 2015, Boston, MA, USA. NewYork: IEEE, 4902-4912(2015).
[9] Li Y, Zhu J. A scale adaptive kernel correlation filter tracker with feature integration. [C]∥Agapito L, Bronstein M, Rother C. ECCV 2014: Computer Vision: ECCV 2014 Workshops. Cham: Springer, 8926, 254-265(2014).
[10] Wu Y, Lim J, Yang M H. Online object tracking: a benchmark. [C]∥2013 IEEE Conference on computer Vision and Pattern Recognition, June 23-28, 2013, Portland, OR, USA. New York: IEEE, 2411-2418(2013).
[11] Henriques J F, Caseiro R, Martins P et al. Exploiting the circulant structure of tracking-by-detection with kernels. [C]∥Fitzgibbon A, Lazebnik S, Perona P,
[12] Danelljan M, Khan F S, Felsberg M 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, 1090-1097(2014).
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Jianfeng Yang, Jianpeng Zhang. Long Time Target Tracking Based on Kernel Correlation Filtering[J]. Laser & Optoelectronics Progress, 2019, 56(2): 021502
Category: Machine Vision
Received: Jun. 1, 2018
Accepted: Aug. 8, 2018
Published Online: Aug. 1, 2019
The Author Email: Yang Jianfeng (jfyang@mail.lzjtu.cn)