• DocumentCode
    1894723
  • Title

    Saliency assistant driver alerting

  • Author

    Daiqin Yang ; Shidong Ke ; Youqiang Hou ; Zhenzhong Chen

  • Author_Institution
    Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan, China
  • fYear
    2013
  • fDate
    2-6 Dec. 2013
  • Firstpage
    949
  • Lastpage
    950
  • Abstract
    This paper presents a driver alerting approach based on saliency detection. Due to the unequal distribution of photoreceptors in human visual system, visual acuity decreases according to the distance to the fovea area on the retina. A driver alerting approach is proposed based on visual sensor to detect the saliency information which may not be well perceived by the driver. The image acquired by the visual sensor is analyzed by the saliency detection algorithm. The salient object Which is not perceived by the driver, i.e. is projected on the retina but is far away from the fovea area, is detected. The experiments show that the proposed approach can effectively detect salient object which is not well perceived by the driver therefore ensure better driving safety.
  • Keywords
    computer vision; driver information systems; eye; object detection; road safety; driver alerting approach; driving safety; fovea area; human visual system; photoreceptor distribution; retina; saliency assistant driver alerting; saliency detection algorithm; saliency information detection; visual acuity; visual sensor; Educational institutions; Feature extraction; Photoreceptors; Retina; Vehicles; Visual systems; Visualization; driver alerting; human visual system; saliency; visual sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Connected Vehicles and Expo (ICCVE), 2013 International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/ICCVE.2013.6799937
  • Filename
    6799937