Laser & Optoelectronics Progress, Volume. 55, Issue 6, 061503(2018)

Improved Long Time Tracking Algorithm by Combining BRISK and Region Estimation

Hailin Kang, Ting Zhao, Hua Zhou, Qiao Liu*, and Zhengping Zhang
Author Affiliations
  • College of Big Data and Information Engineering, Guizhou University, Guiyang, Guizhou 550025, China
  • show less
    References(19)

    [1] Dong Y K, Wang C X, Xue L J et al. Pedestrian detection and tracking based on TLD framework[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 41, 226-228(2013).

    [2] Kalal Z, Mikolajczyk K, Matas J. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 34, 1409-1422(2012).

    [3] Qin F, Wang R G, Liang Q X et al. A Improved TLD target tracking algorithm based on key feature points[J]. Computer Engineering and Applications, 52, 181-187(2016).

    [4] Yi S, Lin F Q, Zhou S Y. Automatic tracking method based on improved TLD[J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 28, 892-896(2016).

    [5] Jin Z, Liu C C. Accelerated TLD algorithm and its application in multiple target tracking[J]. Computer System and Applications, 25, 196-201(2016).

    [6] Jiao P F, Qin P L, Miao Q G et al. Improved TLD algorithm based on multi-innovation Kalman filter[J]. Journal of Data Acquisition and Processing, 31, 592-598(2016).

    [7] Xiao Q G, Ye Q W, Zhou Y et al. Long-time video tracking algorithm of optimized TLD based on Mean-Shife[J]. Computer Application Research, 32, 925-928(2015).

    [8] Sun B J. Zhang B, song C, et al. Improved TLD object tracking algorithm based on corner reinforced[J]. Chinese Journal of Liquid Crystals and Displays, 31, 921-928(2016).

    [9] Shi H, Lin Z, Tang W et al. A robust hand tracking approach based on modified tracking-learning-detection algorithm[J]. Lecture Notes in Electrical Engineering, 308, 9-15(2014).

    [10] Zhu X T, Shi F H. Improved tracking learning detection method based on BRISK keypoints[J]. Computer Engineering, 43, 268-272(2017).

    [11] Meng Y, Zhang B. A multiple-object tracking algorithm using TLD-based adaptive adjustment of detection areas[J]. Journal of Northeastern University (Natural Science Edition), 38, 214-218(2017).

    [12] Lu B, Gu S H. Object tracking algorithm based on hidden Markov model and block feature matching[J]. Laser & Optoelectronics Progress, 54, 091006(2017).

    [13] Zhou X, Qian Q M, Ye Y Q et al. Improved TLD visual target tracking algorithm[J]. Journal of Image and Graphics, 18, 1115-1123(2013).

    [14] Cai R T, Zhu P. Face tracking with multi-feature based on Markov random field[J]. Laser & Optoelectronics Progress, 54, 021002(2017).

    [16] Kang Z, Landry S J. Using scanpaths as a learning method for a conflict detection task of multiple target tracking[J]. Pattern Recognition and Artificial Intelligence, 56, 1150-1162(2014).

    [17] Zhang B, Long H. Visual target tracking algorithm based on image signature algorithm[J]. Laser & Optoelectronics Progress, 54, 091504(2017).

    [19] Hare S, Saffari A. Torr P H S. Struck:structured output tracking with kernels[C]. IEEE International Conference on Computer Vision, 263-270(2012).

    Tools

    Get Citation

    Copy Citation Text

    Hailin Kang, Ting Zhao, Hua Zhou, Qiao Liu, Zhengping Zhang. Improved Long Time Tracking Algorithm by Combining BRISK and Region Estimation[J]. Laser & Optoelectronics Progress, 2018, 55(6): 061503

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Machine Vision

    Received: Dec. 1, 2017

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Liu Qiao (liuqiao1955@163.com)

    DOI:10.3788/LOP55.061503

    Topics