[1] WU Y, LIM J W, YANG M H.Online object tracking:a benchmark［C］//Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Piscataway:IEEE Press, 2013: 2411-2418.

[2] YILMAZ A, JAVED O, SHAH M.Object tracking: a survey［J］.ACM Computer Survey, 2006, 38(4):13-57.

[3] ZHANG K H, ZHANG L, LIU Q S, et al.Fast visual tracking via dense spatio-temporal context learning［M］.Zuirch:Springer, 2014:127-141.

[4] DAI M, LIN P J, WU L J, et al.Orderless and blurred vi-sual tracking via spatio-temporal context［C］//Conference on Multimedia Modeling, Sydney:Springer, 2015:25-36.

[5] WEI X, ZHANG S, CHAN S C.A novel visual object tracking algorithm using multiple spatial context models and Bayesian Kalman filter［C］//IEEE International Symposium on Circuits & Systems, 2015:1034-1037.

[6] 吕枘蓬, 蔡肖芋, 董亮, 等.基于TLD框架的上下文目标跟踪算法［J］.电视技术,2015,39(9):6-9,43.

[7] CHEN S Y.Kalman filter for robot vision:a survey［J］.IEEE Transactions on Industrial Electronics, 2012, 59(11):4409-4420.

[8] 王向华, 覃征, 杨新宇, 等.基于多次卡尔曼滤波的目标自适应跟踪算法与仿真分析［J］.系统仿真学报,2008,20(23):6458-6460,6465.

[9] 李帅.基于稠密时空上下文的目标跟踪算法研究［D］.重庆: 重庆大学,2016.