• DocumentCode
    3743098
  • Title

    A New Improvement of Human Bodies Detection

  • Author

    Claudia Cervantes-Jilaja;Maria Tejada-Begazo; Pati?o-Escarcina;Dennis Barrios-Aranibar

  • Author_Institution
    Lab. de Robot. y Vision Computacional, Univ. Catolica San Pablo, Arequipa, Peru
  • fYear
    2015
  • Firstpage
    315
  • Lastpage
    319
  • Abstract
    The HOG method is applied in the detection of human bodies in an vertical position. However, when human bodies are in other positions, HOG method has several fails, another disadvantage of this method is the occlusion of human bodies by objects. This research presents a new improvement to HOG method with erosion morphological operator and cascade classifier (vector points describing the face of a person). The experiments show that the improved HOG method add erosion operator and classifier of faces (MFHD, Morphological Face HOG Detection) in 79.02% with respect the HOG method whose percentage is 64.46%.
  • Keywords
    "Face","Biological system modeling","Sensors","Face detection","Libraries","Lighting"
  • Publisher
    ieee
  • Conference_Titel
    Robotics Symposium (LARS) and 2015 3rd Brazilian Symposium on Robotics (LARS-SBR), 2015 12th Latin American
  • Type

    conf

  • DOI
    10.1109/LARS-SBR.2015.53
  • Filename
    7402184