Target Tracking Algorithm with Rotation Characteristics

Qi Hu; Rui Li; Wei Zhang

doi:10.3788/AOS202040.1715002

[1] Meng L, Yang X. A survey of object tracking algorithms[J]. Acta Automatica Sinica, 45, 1244-1260(2019).

[2] Bolme D S, Beveridge J R, Draper B A 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, 2544-2550(2010).

[3] 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, 37, 583-596(2015).

[4] Tang M, Feng J Y. Multi-kernel correlation filter for visual tracking. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 3038-3046(2015).

[5] Possegger H, Mauthner T, Bischof H. In defense of color-based model-free tracking. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 2113-2120(2015).

[6] Bertinetto L, Valmadre J, Golodetz S 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, 1401-1409(2016).

[7] 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).

[8] Dalal N, Triggs B. Histograms of oriented gradients for human detection. [C]∥2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), June 20-25, 2005, San Diego, CA, USA. New York: IEEE, 886-893(2005).

[9] Danelljan M, Häger G, Shahbaz Khan F et al. Accurate scale estimation for robust visual tracking[C]∥Proceedings of the British Machine Vision Conference 2014, September 1-5, 2014, Nottingham, UK., 1-11(2014).

[10] Danelljan M, Häger G, Khan F S et al. Learning spatially regularized correlation filters for visual tracking. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 4310-4318(2015).

[11] Danelljan M, Robinson A, Shahbaz Khan F et al[M]. Beyond correlation filters: learning continuous convolution operators for visual tracking, 472-488(2016).

[12] Danelljan M, Bhat G, Khan F S et al. ECO: efficient convolution operators for tracking. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 6931-6939(2017).

[13] Galoogahi H K, Fagg A, Lucey S. Learning background-aware correlation filters for visual tracking. [C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy. New York: IEEE, 1144-1152(2017).

[14] Wang M M, Liu Y, Huang Z Y. 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, 4800-4808(2017).

[15] Liu T, Wang G, Yang Q X et al. Part-based tracking via discriminative correlation filters[J]. IEEE Transactions on Circuits and Systems for Video Technology, 55, 207-211(2016).

[16] Kalal Z, Mikolajczyk K, Matas J. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 1409-1422(2012).

[17] Ma C, Yang X K, Zhang C Y et al. Long-term correlation tracking. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 5388-5396(2015).

[18] Li F, Tian C, Zuo W M et al. Learning spatial-temporal regularized correlation filters for visual tracking. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 4904-4913(2018).

[19] Zhao G P, Shen Y P, Wang J Y. Adaptive feature fusion object tracking based on circulant structure with kernel[J]. Acta Optica Sinica, 37, 0815001(2017).

[20] Li Y, Zhu J K, Hoi S et al. -12-14) [2010-04-30]. https:∥arxiv.org/abs/1712.05231v2.(2018).

[21] Boyd S. Distributed optimization and statistical learning via the alternating direction method of multipliers[J]. Foundations and Trends ^© in Machine Learning, 3, 1-12(2010).

[22] Liang P P, Wu Y F, Lu H et al. Planar object tracking in the wild: a benchmark. [C]∥2018 IEEE International Conference on Robotics and Automation (ICRA), May 21-25, 2018, Brisbane, QLD, Australia. New York: IEEE, 651-658(2018).