Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 8, 1202(2025)

Review of single object tracking algorithm based on deep learning

Shiyan GAO1,2, Jie LIU1,2, Wenyi CHEN1,2, Zemin HE1,2, Haiyan YANG1,2, and Zongcheng MIAO1,3、*
Author Affiliations
  • 1Shaanxi Key Laboratory of Liquid Crystal Polymer Intelligent Display, Technological Institute of Materials & Energy Science (TIMES), Xijing University, Xi'an 710123, China
  • 2Key Laboratory of Liquid Crystal Polymers Based Flexible Display Technology in National Petroleum and Chemical Industry, School of Electronic Information, Xijing University, Xi'an 710123, China
  • 3School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an 710072, China
  • show less
    References(84)

    [14] PFLUGFELDER R. An in-depth analysis of visual tracking with Siamese neural networks[J/OL](2017).

    [18] WANG N Y, YEUNG D Y. Learning a deep compact image representation for visual tracking[C], 809-817(2013).

    [19] WANG N Y, LI S Y, GUPTA A et al. Transferring rich feature hierarchies for robust visual tracking[J/OL](2015).

    [25] HONG S, YOU T, KWAK S et al. Online tracking by learning discriminative saliency map with convolutional neural network[C], 597-606(2015).

    [26] WANG N Y. A review of visual tracking[J]. Computer Science and Application, 8, 35-42(2018).

    [28] NAM H, BAEK M, HAN B. Modeling and propagating CNNs in a tree structure for visual tracking[J/OL](2016).

    [43] WANG Q, GAO J, XING J L et al. DCFNet: discriminant correlation filters network for visual tracking[J/OL](2017).

    [57] ZHAO M J, OKADA K, INABA M. TrTr: visual tracking with transformer[J/OL](2021).

    [63] LIN L T, FAN H, ZHANG Z P et al. SwinTrack: a simple and strong baseline for Transformer tracking[C], 1218(2022).

    [66] DOSOVITSKIY A, BEYER L, KOLESNIKOV A et al. An image is worth 16×16 words: Transformers for image recognition at scale[C](2021).

    [74] MEHTA S, GHAZVININEJAD M, IYER S et al. DeLighT: deep and light-weight Transformer[C](2021).

    [78] CUI Y T, SONG T H, WU G S et al. MixFormerV2: efficient fully Transformer tracking[C], 2561(2023).

    Tools

    Get Citation

    Copy Citation Text

    Shiyan GAO, Jie LIU, Wenyi CHEN, Zemin HE, Haiyan YANG, Zongcheng MIAO. Review of single object tracking algorithm based on deep learning[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(8): 1202

    Download Citation

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

    Category:

    Received: Apr. 10, 2025

    Accepted: --

    Published Online: Sep. 25, 2025

    The Author Email: Zongcheng MIAO (miaozongcheng@nwpu.edu.cn)

    DOI:10.37188/CJLCD.2025-0081

    Topics