• DocumentCode
    2140336
  • Title

    Human detection and object tracking based on Histograms of Oriented Gradients

  • Author

    Shibo Zhang ; Xiaojie Wang

  • Author_Institution
    Coll. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2013
  • fDate
    23-25 July 2013
  • Firstpage
    1349
  • Lastpage
    1353
  • Abstract
    Feature extraction methods are widely used in the object detection procedure. In this paper, improved Histograms of Oriented Gradients features are used to represent the edge information of images. In order to track in real-time, we use background subtraction detection with Histograms of Oriented Gradients, which achieves the required accuracy and satisfies real-time demand.
  • Keywords
    feature extraction; human computer interaction; intelligent transportation systems; object detection; background subtraction detection; feature extraction methods; histogram of oriented gradients; human detection; object tracking; Conferences; Feature extraction; Histograms; Image edge detection; Object tracking; Real-time systems; Support vector machines; Histograms of Oriented Gradient (HOG); Human detection; Object Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2013 Ninth International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/ICNC.2013.6818189
  • Filename
    6818189
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2140336