Acta Optica Sinica, Volume. 40, Issue 3, 0315001(2020)
Multi-Scale Kernel Correlation Filter Algorithm for Visual Tracking Based on the Fusion of Adaptive Features
[1] Yilmaz A, Javed O, Shah M. Object tracking: a survey[J]. ACM Computing Surveys, 38, 13(2006).
[3] Lu H C, Li P X, Wang D. Visual object tracking:a survey[J]. Pattern Recognition and Artificial Intelligence, 31, 61-76(2018).
[5] Bolme D, 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).
[6] Henriques J F, Caseiro R, Martins P 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, 7575, 702-715(2012).
[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, 37, 583-596(2015).
[8] 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).
[9] 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).
[13] Qi Y K, Zhang S P, Qin L 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, 4303-4311(2016).
[15] Danelljan M, Häger G, Khan F S et al. Accurate scale estimation for robust visual tracking[C]∥Proceedings of the British Machine Vision Conference 2014, September 1-5, 2014, Nottingham.(2014).
[16] Li Y, Zhu J K. 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, 8926, 254-265(2015).
[17] Zhang K H, Zhang L, Liu Q S 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, 8693, 127-141(2014).
[18] 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).
[19] 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 (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 4902-4912(2015).
[20] Bibi A, Ghanem B. 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, 613-620(2015).
[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, 17, 512(2017).
[22] Wu Y, Lim J, Yang M H. 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, 2411-2418(2013).
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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
Category: Machine Vision
Received: Jul. 25, 2019
Accepted: Sep. 29, 2019
Published Online: Feb. 17, 2020
The Author Email: Chen Faling (chfling@sia.cn)