Laser & Optoelectronics Progress, Volume. 55, Issue 4, 041501(2018)

Scale Adaptive Kernel Correlation Filtering for Target Tracking

Meifeng Gao and Xiaoxuan Zhang*
Author Affiliations
  • Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214122, China
  • show less
    References(18)

    [2] Zou Y B, Zhou W L, Chen X Z. Research of laser vision seam detection and tracking system based on depth hierarchical feature[J]. Chinese Journal of Lasers, 44, 0402009(2017).

    [3] Xie Z X, Chen W Z, Chi S K et al. Industrial robust positioning system based on the guidance of the structured-light vision[J]. Acta Optica Sinica, 36, 1015001(2016).

    [4] Qiu C C, Li Q W, Wang T et al. An improved IVT algorithm for object tracking[J]. Laser & Optoelectronics Progress, 53, 011002(2016).

    [5] Liu H, Chen Y. Target tracking based on adaptive fusion of multi-feature[J]. Opto-Electronic Engineering, 43, 58-65(2016).

    [6] Avidan S. Ensemble tracking[J]. IEEE Transactions Pattern Analysis & Machine Intelligence, 29, 261-271(2007).

    [9] Nam H, Han B. Learning multi-domain convolutional neural networks for visual tracking[C]. IEEE Conference on Computer Vision and Pattern Recognition, 4293-4302(2016).

    [10] Bertinetto L, Valmadre J, Henriques J F et al. Fully-convolutional Siamese networks for object tracking[C]. European Conference on Computer Vision, 850-865(2016).

    [11] Wu Y, Lim J, Yang M H. Object tracking benchmark[J]. Transactions on Pattern Analysis and Machine Intelligence, 37, 1834-1848(2015).

    [12] Henriques J F, Caseiro R, Martins P et al. Exploiting the circulant structure of tracking-by-detection with kernels[C]. European Conference on Computer Vision, 702-715(2012).

    [13] Danelljan M, Khan F S, Felsberg M et al. Adaptive color attributes for real-time visual tracking[C]. IEEE Conference on Computer Vision and Pattern Recognition, 1090-1097(2014).

    [15] Scholkopf B, Smola A J[M]. Learning withkernels: Support vector machines, regularization, optimization, and beyond(2002).

    [16] Hare S, Saffari A, Philip H S. Structured output tracking with kernels[C]. International Conference on Computer Vision, 263-270(2011).

    [17] Zhang K, Zhang L, Yang M H et al. Fast tracking via spatio-temporal context learning[C]. European Conference on Computer Vision, 127-141(2014).

    [18] Zhang K, Zhang L, Yang M H. Real-time compressive tracking[C]. European Conference on Computer Vision, 864-877(2012).

    CLP Journals

    [1] Xiaohong Ma. Updating Method of Improved Gradient Threshold in Object Tracking[J]. Laser & Optoelectronics Progress, 2018, 55(6): 061502

    Tools

    Get Citation

    Copy Citation Text

    Meifeng Gao, Xiaoxuan Zhang. Scale Adaptive Kernel Correlation Filtering for Target Tracking[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041501

    Download Citation

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

    Category: Machine Vision

    Received: Sep. 13, 2017

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Xiaoxuan Zhang ( 1762248458@qq.com)

    DOI:10.3788/LOP55.041501

    Topics