• DocumentCode
    3660152
  • Title

    Color name TLD1

  • Author

    Defeng Sun;Bin Dai;Chuanxiang Li;Liang Xiao

  • Author_Institution
    College of Mechatronics and Automation, National University of Defense Technology, Changsha 410073, China
  • fYear
    2015
  • Firstpage
    791
  • Lastpage
    796
  • Abstract
    To achieve better performance of visual tracking, an improved TLD tracking algorithm was proposed. Firstly, the performance of objects detection classifiers was improved by the usage of the color attributes of objects. The accuracy of objects detector was boosted by using the color attributes of initial object, which was labeled manually. Secondly, Kalman Filter is adopted to estimate localization of candidate objects. Then, with the help of estimated candidate localizations, the research space of detectors and the complexity of computation were reduced. The improved TLD, called color name TLD, was tested on many Benchmark sequences and the experimental results show that the performance and accuracy outperform other publicly available tracking methods under the different scenes.
  • Keywords
    "Target tracking","Image color analysis","Detectors","Color","Visualization","Kalman filters"
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICInfA.2015.7279392
  • Filename
    7279392