• DocumentCode
    120875
  • Title

    A mathematical model to detect hand object from the scene

  • Author

    Garg, Radhika ; Aulakh, Inderdeep Kaur ; Kumari, N.

  • Author_Institution
    Dept. of IT, UIET, Chandigarh, India
  • fYear
    2014
  • fDate
    21-22 Feb. 2014
  • Firstpage
    1133
  • Lastpage
    1136
  • Abstract
    Image segmentation is one of major image processing activity used to identify a specific pixel area over the image. In this presented, an improved segmented approach is presented to recognize the object in a scene or image. Such kind of segmentation is helpful to identify the component object in a scene or the image. The presented work is based on the Mathematical analysis to identify the object position in the Scene. Once the object frame will be identified, the next work is to separate the object area from the background and in the final stage the edge detection will be implemented to highlight the object. In this paper, the basic segmentation approaches are defined along with the proposed algorithmic approach to perform the object detection. The work is here been defined for the hand object detection.
  • Keywords
    edge detection; feature extraction; image segmentation; object detection; object recognition; algorithmic approach; edge detection; hand object detection; image processing activity; image segmentation; mathematical analysis; object position identification; object recognition; pixel area; segmentation approach; Feature extraction; Image color analysis; Image segmentation; Object detection; Object recognition; Streaming media; Edge Segmentation; ROI Extraction; Segmentation; Similarity Measures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2014 IEEE International
  • Conference_Location
    Gurgaon
  • Print_ISBN
    978-1-4799-2571-1
  • Type

    conf

  • DOI
    10.1109/IAdCC.2014.6779485
  • Filename
    6779485