• DocumentCode
    736779
  • Title

    An Algorithm of Feather and Down Target Detection and Tracking Method Based on Sparse Representation

  • Author

    Wang, Yanqiu ; Yan, Xiaofei ; Zhang, Wei

  • fYear
    2015
  • fDate
    13-14 June 2015
  • Firstpage
    87
  • Lastpage
    90
  • Abstract
    Feather and down products are becoming more and more popular. In recent years, the research team has done the down automatic detection and recognition by computer. In order to raise the recognition rate of feather and down category, in the paper a goal down image detection adaptive sparse representation and tracking method based on image is proposed, and target detection is used to determine the feather and down category. First of all, after the study, proposed improved adaptive sparse expression theory, and related features in the study of down on the image, the adaptive sparse representation theory and the multi-scale geometric analysis theory is applied to image recognition algorithm. The research will build a new adaptive sparse expression theory system, improve the robustness of the feather of image recognition, and will promote the target tracking technology innovation.
  • Keywords
    Computers; Dictionaries; Feathers; Image recognition; Support vector machines; Target recognition; Target tracking; Feather and Down; Goal Tracking; Image Recognition; Sparse Representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
  • Conference_Location
    Nanchang, China
  • Print_ISBN
    978-1-4673-7142-1
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2015.28
  • Filename
    7263520