Electronics Optics & Control, Volume. 25, Issue 11, 102(2018)

STC Target Tracking Algorithm Based on Kalman Filter

ZHANG Xin-kun and HUANG Shan
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    References(6)

    [1] [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.

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    [3] [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] [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] [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.

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

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    ZHANG Xin-kun, HUANG Shan. STC Target Tracking Algorithm Based on Kalman Filter[J]. Electronics Optics & Control, 2018, 25(11): 102

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    Paper Information

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    Received: Nov. 29, 2017

    Accepted: --

    Published Online: Nov. 25, 2018

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2018.11.020

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