• DocumentCode
    3721309
  • Title

    A neural bio-inspired scheme for head pose recognition

  • Author

    Orozco-Rodr?guez Huber Eustacio;Chacon-Murguia Mario Ignacio;Ramirez-Quintana Juan Alberto

  • Author_Institution
    Visual Perception Applications on Robotic Lab, Chihuahua Institute of Technology, Mexico
  • fYear
    2015
  • Firstpage
    403
  • Lastpage
    408
  • Abstract
    A bio-inspired model for head pose recognition is described in this paper. The bio-inspired model recognizes the head by using gray scale information as well as the silhouette of the person. A set of descriptors is generated from this analysis by a hierarchical model based on the visual cortex. Then the descriptors are classified by a multilayer perceptron artificial neural network to identify the position of the head. The model is able to recognize five distinct poses with a precision of 98% in images with a resolution of 640×480.
  • Keywords
    "Visualization","Prototypes","Dictionaries","Training","Head","Biological system modeling","Brain modeling"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Signal Processing Education Workshop (SP/SPE), 2015 IEEE
  • Type

    conf

  • DOI
    10.1109/DSP-SPE.2015.7369588
  • Filename
    7369588
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3721309