Correlation-Filter Tracking Algorithm with Adaptive-Feature Fusion and Anti-Occlusion

Haifeng Liu; Cheng Sun; Xingliang Liang

doi:10.3788/LOP57.141014

[1] Lu H C, Li P X, Wang D. Visual object tracking: a survey[J]. Pattern Recognition and Artificial Intelligence, 31, 61-76(2018).

[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. 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. Heidelberg: Springer, 7575, 702-715(2012).

[4] 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).

[5] O'Rourke S M. Herskowitz I, O'Shea E K. Yeast go the whole HOG for the hyperosmotic response[J]. Trends in Genetics, 18, 405-412(2002).

[6] Danelljan M, Hager G, Khan F S et al. Accurate scale estimation for robust visual tracking. [C]∥British Machine Vision Conference 2014, September 1-5, 2014, Jubilee Campus. Berlin: Springer, 1-11(2014).

[7] Danelljan M, Häger G, Khan F S et al. Discriminative scale space tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1561-1575(2017).

[8] He X D, Zhou S Z. Fast scale adaptive kernel correlation filtering algorithm for target tracking[J]. Laser & Optoelectronics Progress, 55, 121501(2018).

[9] 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).

[10] Danelljan M, Häger G, Khan F S et al. Adaptive decontamination of the training set: a unified formulation for discriminative visual tracking. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 1430-1438(2016).

[11] Galoogahi H K, Sim T, Lucey S. Correlation filters with limited boundaries. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 4630-4638(2015).

[12] Lukežic A, Vojír T, Zajc L C et al. Discriminative correlation filter with channel and spatial reliability. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 4847-4856(2017).

[13] van de Weijer J, Schmid C, Verbeek J et al. Learning color names for real-world applications[J]. IEEE Transactions on Image Processing, 18, 1512-1523(2009).

[14] 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).

[15] 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).

[16] Dong Q J, He X D, Ge H Y et al. Adaptive merging complementary learners for visual tracking based on probabilistic model[J]. Laser & Optoelectronics Progress, 56, 161505(2019).

[17] Liu X Y, Wang Y M, Ma W N. Scale-adaptive correlation filter tracking algorithm based on FHOG and LBP features[J]. Laser & Optoelectronics Progress, 57, 041512(2020).

[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] Cheng Y, Li J Z, Zhu L N et al. Correlation filter tracking algorithm based on model and scale updating[J]. Laser & Optoelectronics Progress, 55, 121015(2018).

[20] Cui Z J, An J S, Cui T S. Real-time and anti-occlusion visual tracking algorithm based on multi-layer deep convolutional features[J]. Acta Optica Sinica, 39, 0715002(2019).

[21] Yin K, Li J L, Li L et al. Adaptive feature update object-tracking algorithm in complex situations[J]. Acta Optica Sinica, 39, 1115002(2019).

[22] 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).

[23] Wu Y, Lim J, Yang M H. Object tracking benchmark[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1834-1848(2015).

[24] 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).

[25] 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).

[26] Ma C, Huang J B, Yang X K et al. Hierarchical convolutional features for visual tracking. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 3074-3082(2015).

[27] 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).

[28] Danelljan M, Robinson A, Shahbaz Khan F et al. Beyond correlation filters: learning continuous convolution operators for visual tracking[M]. ∥Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science. Cham: Springer, 9909, 472-488(2016).

[29] Danelljan M, Bhat G, Khan F S et al. -04-10)[2019-10-20]. https:∥arxiv., org/abs/1611, 09224(2017).