Laser & Optoelectronics Progress, Volume. 60, Issue 12, 1210019(2023)

Template Drift Suppression Method Based on Sub Pixel Correction

Qilong Yang1,2, Xiaoyu Ma2,3、*, Shuang Liu1、**, Shuanghui You2, and Chengping Li2
Author Affiliations
  • 1School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China
  • 2Chongqing Co -Core Optoelectronics Technology Research Institute Co., Ltd., Chongqing400021, China
  • 3Chengdu Research Institute, Sichuan University of Arts and Sciences, Chengdu 635000, Sichuan, China
  • show less
    References(22)

    [1] Bolme D S, Beveridge J R, Draper B A et al. Visual object tracking using adaptive correlation filters[C], 2544-2550(2010).

    [2] Henriques J F, Caseiro R, Martins P et al. Exploiting the circulant structure of tracking-by-detection with kernels[M]. Fitzgibbon A, Lazebnik S, Perona P, et al. Computer vision-ECCV 2012. Lecture notes in computer science, 7575, 702-715(2012).

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

    [4] Gong H F, Sim J, Likhachev M et al. Multi-hypothesis motion planning for visual object tracking[C], 619-626(2011).

    [5] Jiang X J, Wan X D. Template object tracking algorithm with weighted drift correction[J]. Modern Computer, 25-29(2013).

    [6] Xie G R, Qu Y, Jiang R Q. Tracking algorithms based on antiocclusion object models[J]. Laser & Optoelectronics Progress, 59, 0815001(2022).

    [7] Wu P P, Wang J L, Zhang Q. Covariance tracking algorithm based on particle filter and adaptive template update[C], 199-202(2010).

    [8] Nakhmani A, Tannenbaum A. Particle filtering with region-based matching for tracking of partially occluded and scaled targets[J]. SIAM Journal on Imaging Sciences, 4, 220-242(2011).

    [9] Fan B J, Du Y K, Zhu L L et al. A robust template tracking algorithm with weighted active drift correction[J]. Pattern Recognition Letters, 32, 1317-1327(2011).

    [10] Supancic J S, Ramanan D. Self-paced learning for long-term tracking[C], 2379-2386(2013).

    [11] Gao Y, Zhao J S, Luo J H et al. Adaptive feature fusion with the confidence region of a response map as a correlation filter tracker[J]. Optics and Precision Engineering, 27, 1178-1187(2019).

    [12] Matthews L, Ishikawa T, Baker S. The template update problem[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26, 810-815(2004).

    [13] Ma C, Yang X K, Zhang C Y et al. Long-term correlation tracking[C], 5388-5396(2015).

    [14] Li T, Zhao S Y, Meng Q H et al. A stable long-term object tracking method with re-detection strategy[J]. Pattern Recognition Letters, 127, 119-127(2019).

    [15] Raju P M, Mishra D, Gorthi R K S S. Detection based long term tracking in correlation filter trackers[J]. Pattern Recognition Letters, 122, 79-85(2019).

    [16] Wang Y T. Research on target tracking algorithm based on correlation filtering[D](2020).

    [17] Liu J M, Guo J W, Shi S. Correlation filter tracking based on adaptive learning rate and location refiner[J]. Optics and Precision Engineering, 26, 2100-2111(2018).

    [18] Chen L P, Wang M Y, Yang W Z et al. An improved kernelized correlation filter for long-term target tracking[J]. Journal of Zhengzhou University (Engineering Science), 41, 32-36(2020).

    [19] Ma J, Wang Y H. Object tracking algorithm based on adaptive update strategy and re-detection technology[J]. Computer Engineering and Applications, 57, 217-224(2021).

    [20] Li F J, Liu H H, Ren H G et al. Scale adaptive kernel correlation tracking method with high confidence[J]. Laser & Optoelectronics Progress, 58, 0815004(2021).

    [21] Liu Z D, Dong L Q, Zhao Y J et al. Adaptive model tracking algorithm for fast-moving targets in video[J]. Acta Optica Sinica, 41, 1815001(2021).

    [22] Voigtlaender P, Luiten J, Torr P H S et al. Siam R-CNN: visual tracking by re-detection[C], 6577-6587(2020).

    Tools

    Get Citation

    Copy Citation Text

    Qilong Yang, Xiaoyu Ma, Shuang Liu, Shuanghui You, Chengping Li. Template Drift Suppression Method Based on Sub Pixel Correction[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1210019

    Download Citation

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

    Category: Image Processing

    Received: Apr. 7, 2022

    Accepted: Jul. 5, 2022

    Published Online: Jun. 5, 2023

    The Author Email: Ma Xiaoyu (maxiaoyu001@126.com), Liu Shuang (shuangliu@uestc.edu.cn)

    DOI:10.3788/LOP221228

    Topics