Multi-Filter Collaborative Tracking Algorithm Based on High-Confidence Updating Strategy

Chaoyi Zhang; Li Peng; Tianhao Jia; Jiwei Wen

doi:10.3788/LOP56.191502

[1] Smeulders A W M, Chu D M, Cucchiara R et al. . Visual tracking: an experimental survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36, 1442-1468(2014).

[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] 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(CVPR), June 23-28, 2014, Columbus,OH, USA.New York: IEEE, 1090-1097(2014).

[5] 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).

[6] Li Y, Zhu J K. A scale adaptive kernel correlation filter tracker with feature integration[M]. ∥ Agapito L, Bronstein M M, Rother C. Computer vision-ECCV 2014. Lecture notes in computer science. Cham: Springer, 8926, 254-265(2015).

[7] Danelljan M, Häger G, Khan F S et al. Accurate scale estimation for robust visual tracking[C]∥British Machine Vision Conference 2014, September 1-5, 2014, Nottingham, British. Durham,(2014).

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

[9] 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).

[10] Wang X, Hou Z Q, Yu W S et al. Target scale adaptive robust tracking based on fusion of multilayer convolutional features[J]. Acta Optica Sinica, 37, 1115005(2017).

[11] Mao N, Yang D D, Yang F C et al. Adaptive object tracking based on hierarchical convolution features[J]. Laser & Optoelectronics Progress, 53, 121502(2016).

[12] 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, Las Vegas, NV, USA. New York: IEEE, 4303-4311(2016).

[13] Wang L J, Ouyang W L, Wang X G et al. Visual tracking with fully convolutional networks. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015,Santiago, Chile. New York: IEEE, 3119-3127(2015).

[14] 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).

[15] 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, 4021-4029(2017).

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

[17] Liang P P, Blasch E, Ling H B. Encoding color information for visual tracking: algorithms and benchmark[J]. IEEE Transactions on Image Processing, 24, 5630-5644(2015).

[18] Zitnick C L, Dollár P. Edge boxes: locating object proposals from edges[M]. ∥Fleet D, Pajdla T, Schiele B, et al. Computer vision-ECCV 2014. Lecture notes in computer science. Cham: Springer, 8693, 391-405(2014).

[19] Zhu G, Porikli F, Li H D. Beyond local search: tracking objects everywhere with instance-specific proposals. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 943-951(2016).

[20] Ge B Y, Zuo X Z, Hu Y J. Long-term object tracking based on feature fusion[J]. Acta Optica Sinica, 38, 1115002(2018).

[21] Ma C, Huang J B, Yang X et al. Robust visual tracking via hierarchical convolutional features[J]. IEEE transactions on pattern analysis and machine intelligence(2018).

[22] Danelljan M, Hager 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).

[23] Hong S, You T, Kwak S et al. Online tracking by learning discriminative saliency map with convolutional neural network. [C]∥Proceedings of the 32nd International Conference on International Conference on Machine Learning, July 6-11, 2015, Lille, France. New York: ACM, 37, 597-606(2015).

[24] Ma C, Huang J B, Yang X K et al. Adaptive correlation filters with long-term and short-term memory for object tracking[J]. International Journal of Computer Vision, 126, 771-796(2018).