• DocumentCode
    632691
  • Title

    Applications of Human Motion Tracking: Smart Lighting Control

  • Author

    Sung Yong Chun ; Chan-Su Lee

  • Author_Institution
    Yeungnam Univ., Gyeongsan, South Korea
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    387
  • Lastpage
    392
  • Abstract
    This paper presents a smart lighting control system based on human motion tracking. Proper illumination and color temperature depend on human activities. A smart lighting system that provides automatic control of lighting illumination and color temperature needs to track human motion and understand human activities. Infrared and thermal spectrum provides useful information robust to the lighting condition. Depth information can be acquired independently of the lighting condition and it is relatively easy to detect humans independent of their clothing, and skin color. Commercial depth cameras or thermal cameras were used for accurate tracking and for estimating human behavior. The activity modes can be estimated using the human motion tracking results from depth cameras and from thermal cameras. Multiple depth cameras were used to detect human subject motion in a large area. The activity modes such as study mode and watching TV mode were estimated and the illumination and color temperature of the LED lighting system were controlled in real time according to the estimated activity.
  • Keywords
    LED lamps; cameras; intelligent control; lighting control; target tracking; LED lighting system; TV mode; accurate tracking; automatic control; clothing; color temperature; commercial depth cameras; human activities; human behavior estimation; human motion tracking; illumination; infrared spectrum; lighting condition; lighting illumination; multiple depth cameras; skin color; smart lighting control system; thermal cameras; thermal spectrum; Cameras; Estimation; Head; Image color analysis; Lighting; Lighting control; TV; Depth Camera; Human Motion Tracking; Lighting Control; Smart Lighting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1109/CVPRW.2013.65
  • Filename
    6595904