Adaptive multi-filter tracker based on efficient convolution operator

Li Guoyou; Zhang Fengxv; Ji Zhian

doi:10.12086/oee.2020.190510

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

[2] Fan X S, Xu Z Y, Zhang J L. Dim small target tracking based on improved particle filter[J]. Opto-Electronic Engineering, 2018, 45(8): 170569.

[3] Li S S, Zhao G P, Wang J Y. Distractor-aware object tracking based on multi-feature fusion and scale-adaption[J]. Acta Optica Sinica, 2017, 37(5): 0515005.

[4] Ross D A, Lim J, Lin R S, et al. Incremental learning for robust visual tracking[J]. International Journal of Computer Vision, 2008, 77(1–3): 125–141.

[5] Babenko B, Yang M H, Belongie S. Robust object tracking with online multiple instance learning[J]. IEEE Transactions on Pat-tern Analysis and Machine Intelligence, 2011, 33(8): 1619–1632.

[6] Zhu W Q, Liu Y, Bian L, et al. Survey on object tracking method base on generative model[J]. Microprocessors, 2017, 38(1): 41–47.

[7] Ge B Y, Zuo X Z, Hu Y J. Review of visual object tracking tech-nology[J]. Journal of Image and Graphics, 2018, 23(8): 1091–1107.

[8] Bolme D S, Beveridge J R, Draper B A, et al. Visual object tracking using adaptive correlation filters[C]//2010 IEEE Com-puter Society Conference on Computer Vision and Pattern Recognition, San Francisco, CA, USA, 2010.

[9] Henriques J F, Caseiro R, Martins P, et al. Exploiting the circu-lant structure of tracking-by-detection with kernels[C]//European Conference on Computer Vision, Berlin, Heidelberg, 2012: 702–715.

[10] Henriques J F, Caseiro R, Martins P, et al. High-speed tracking with kernelized correlation filters[J]. IEEE Transactions on Pat-tern Analysis and Machine Intelligence, 2015, 37(3): 583–596.

[11] Danelljan M, H.ger G, Khan F S, et al. Learning spatially regu-larized correlation filters for visual tracking[C]//2015 IEEE Inter-national Conference on Computer Vision (ICCV), Santiago, Chile, 2015: 4310–4318.

[12] Danelljan M, Robinson A, Khan F S, et al. Beyond correlation filters: learning continuous convolution operators for visual tracking[C]//Computer Vision–ECCV 2016, Cham, 2016: 472–488.

[13] Luke.ic 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), Honolulu, HI, USA, 2017: 4847–4856.

[14] 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), Honolulu, HI, USA, 2017: 6638–6646.

[15] Li F, Tian C, Zuo W M, et al. Learning spatial-temporal regula-rized correlation filters for visual tracking[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA, 2018: 4904–4913.

[16] Hu S, Shao Y M, Sun X. Review of object tracking based on convolutional neural networks[J]. High Technology Letters, 2018, 28(3): 207–213.

[17] Sun H, Li J, Du B, et al. Correlation filtering target tracking based on online multi-lifespan learning[J]. Acta Electronica Sinica, 2017, 45(10): 2337–2342.

[18] Wu Y, Lim J, Yang M H. Object tracking benchmark[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1834–1848.

[19] Mueller M, Smith N, Ghanem B. A benchmark and simulator for UAV tracking[C]//Computer Vision–ECCV 2016, Cham, 2016: 445–461.

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

[21] Ma C, Huang J B, Yang X K, et al. Hierarchical convolutional features for visual tracking[C]//2015 IEEE international Confe-rence on Computer Vision (ICCV), Santiago, Chile, 2015: 3074–3082.

[22] Zhang J M, Ma S G, Sclaroff S. MEEM: robust tracking via mul-tiple experts using entropy minimization[C]//2014 European Conference on Computer Vision, Berlin, 2014: 188–203.

[23] Bertinetto L, Valmadre J, Golodetz S, et al. Staple: Comple-mentary learners for real-time tracking[C]//2016 IEEE Confe-rence on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 2016: 1401–1409.

[24] Ma C, Yang X K, Zhang C Y, et al. Long-term correlation track-ing[C]//2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015: 5388–5396.

[25] Li Y, ZhuJ K, Hoi S C H, et al. Robust estimation of similarity transformation for visual object tracking[Z]. arXiv: 1712.05231[cs.CV], 2017.