• DocumentCode
    2339450
  • Title

    Tracking human face features in thermal images for respiration monitoring

  • Author

    Al-Khalidi, Farah Q. ; Saatchi, Reza ; Burke, Derek ; Elphick, Heather

  • Author_Institution
    Fac. of ACES, Sheffield Hallam Univ., Sheffield, UK
  • fYear
    2010
  • fDate
    16-19 May 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A method has been developed to track a region related to respiration process in thermal images. The respiration region of interest (ROI) consisted of the skin area around the tip of the nose. The method was then used as part of a non-contact respiration rate monitoring that determined the skin temperature changes caused by respiration. The ROI was located by the first determining the relevant salient features of the human face physiology. These features were the warmest and coldest facial points. The tracking method was tested on thermal video images containing no head movements, small random and regular head movements. The method proved valuable for tracking the ROI in all these head movement types. It was also possible to use this tracking method to monitor respiration rate involving a number of head movement types. Currently, more investigations are underway to improve the tracking method so that it can track the ROI in cases larger head movements.
  • Keywords
    face recognition; feature extraction; infrared imaging; tracking; video signal processing; contact respiration rate monitoring; human face features tracking; human face physiology; relevant salient features; respiration monitoring; respiration process; respiration region of interest; skin temperature; thermal image; thermal video images; Image edge detection; Maximum likelihood detection; Monitoring; Nonlinear filters; Nose; Tracking; facial tracking method; noncontact respiration monitoring; thermal imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications (AICCSA), 2010 IEEE/ACS International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4244-7716-6
  • Type

    conf

  • DOI
    10.1109/AICCSA.2010.5586994
  • Filename
    5586994