[1] [1] WU Y, LIM J, YANG M H. Online object tracking: a benchmark ［C］. IEEE Conference on Computer Vision and Pattern Recognition, Portland, USA, 2013: 1354-1362.

[2] [2] JOAO H, RUI C, PEDRO M, et al..High-speed tracking with kernelized correlation filters ［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 32(9): 1627-1645.

[3] [3] BOMLE D S, LUI Y M, DRAPER B A, et al.. Simple real-time human detection using a single correlation filter ［C］. IEEE International Workshop on Performance Evaluation of Tracking & Surveillance, Snowbird, UT, 2009: 1-8.

[4] [4] BOMLE D S, BEVERIDGE J R, DRAPER B A, et al..Visual object tracking using adaptive correlation filters ［C］. IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, USA, 2010: 2544-2550.

[5] [5] JOAO H, RUI C, PEDRO M, et al..Exploiting the circulant structure of tracking-by-detection with kernels ［C］. European Conference on Computer Vision, Florence, Italy, 2012: 702-715.

[6] [6] MARTIN D, GUSTAV H, FAHAD S K, et al..Learning spatially regularized correlation filters for visual tracking ［C］. International Conference on Computer Vision, Santiago, Chile, 2015: 4310-4318.

[7] [7] TANGM, FENG J. Multi-kernel correlation filter for visual tracking ［C］. International Conference on Computer Vision, Santiago, Chile, 2015: 3038-3046.

[8] [8] MARTIN D, FAHAD S K, MICHAEL F, et al..Adaptive color attributes for real-time visual tracking ［C］. IEEE Conference on Computer Vision and Pattern Recognition, Columbus, USA, 2014: 1090-1097.

[9] [9] MA C, HUANG J B, YANG X K, et al..Hierarchical convolutional features for visual tracking ［C］. International Conference on Computer Vision, Santiago, Chile, 2015: 3038-3046.

[10] [10] PEDRO F, ROSS G, DAVID M, et al..Object detection with discriminatively trained part based models ［J］. IEEE Transaction on Pattern Analysis and Machine Intelligence, 2010, 32(9): 1627-1645.

[11] [11] ZHANG B, EBEID S M, PREVOSTR, et al..Fast solver for some computational imaging problems: a regularized weighted least-squares approach ［J］. Digital Signal Processing, 2014, 27: 107-118.

[12] [12] ZHANG L, WANG Y J, SUN H H, et al..Adaptive scale object tracking with kernelized correlation filters ［J］. Opt. Precision Eng., 2016, 24(2): 448-459. (in Chinese)

[13] [13] SONG C, ZHAGN B, YIN CH L. Particle filter design for tracking ground targets in airborne environment ［J］. Opt. Precision Eng., 2014, 22(4): 1037-1047. (in Chinese)

[14] [14] BERNHARD S, ALEXANDER S. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond ［M］. Massachusetts, the MIT Press, 2002: 184-209.

[15] [15] DALAL N, BILL T. Histograms of oriented gradients for human detection ［C］. IEEE Conference on Computer Vision and Pattern Recognition, San Diego, USA, 2005: 886-893.

[16] [16] JIANG Y S, MA J W. Combination features and models for human detection ［C］.IEEE Conference on Computer Vision and Pattern Recognition, Boston, USA, 2015: 240-248.

[17] [17] SAM H, AMIR S, PHILIP H. Struck: Structured output tracking with kernels ［C］. International Conference on Computer Vision, Barcelona, Spain, 2011: 263-270.

[18] [18] THANG B, NAM V, GERARD G M. Context tracker: exploring supporters and distracters in unconstrained environments ［C］.IEEE Conference on Computer Vision and Pattern Recognition, Colorado Springs, USA, 2011: 1177-1184.

[19] [19] BORIS B, YANG M H, SERGE J B.Visual tracking with online multiple instance learning ［C］.IEEE Conference on Computer Vision and Pattern Recognition, Miami, USA, 2009: 983-990.