A Kernel Correlation Filtering Tracking Method Based on GM(1,1) Scale Estimation

CHEN Junrui; LI Chenrong; DAI Xingan; SHENG Shouzhao

doi:10.3969/j.issn.1671-637x.2019.12.013

[3] HARE S, GOLODETZ S, SAFFARI A, et al. Struck:structured output tracking with kernels［J］ .IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 38(10): 2096-2109.

[4] KALAL Z, MIKOLAJCZYK K, MATAS J. Tracking-learning-detection［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(7): 1409-1422.

[5] BOLME D S, BEVERIDGE J R, DRAPER B A, et al. Vi-sual object tracking using adaptive correlation filters［C］//IEEE Conference on Computer Vision and Pattern Recognition, 2010: 2544-2550.

[6] 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, 2015, 37(3):583-596.

[7] DANELLJAN M, HAGER G, KHAN F S, et al. Accurate scale estimation for robust visual tracking［C］//Proceedings of British Machine Vision Conference, 2014:1-11.

[8] DANELLJAN M, ROBINSON A, KHAN F S, et al. Beyond correlation filters: learning continuous convolution operators for visual tracking［C］//Proceedings of European Conference on Computer Vision, 2016: 472-488.

[11] WU Y, LIM J, YANG M H. Online object tracking: a benchmark［C］//IEEE Conference on Computer Vision and Pattern Recognition, 2013.

[12] WU Y, LIM J, YANG M H. Object tracking benchmark［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1834-1848.