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SHENG Jing. Locating algorithm of driver lip feature points based on machine vision[J]. Journal of Traffic and Transportation Engineering, 2009, 9(4): 118-121. doi: 10.19818/j.cnki.1671-1637.2009.04.023
Citation: SHENG Jing. Locating algorithm of driver lip feature points based on machine vision[J]. Journal of Traffic and Transportation Engineering, 2009, 9(4): 118-121. doi: 10.19818/j.cnki.1671-1637.2009.04.023
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Locating algorithm of driver lip feature points based on machine vision

doi: 10.19818/j.cnki.1671-1637.2009.04.023

  • Department of Mechanical and Power Engineering, Nanchang Institute of Technology, Nanchang 330099, Jiangxi, China

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  • Author Bio:

    SHENG Jing(1980-), famale, lecturer, +86-791-2126168, shengjing6307@163.com

  • Received Date: 2009-03-11
  • Publish Date: 2009-08-25
    Abstract
  • In order to monitor driver fatigue state effectively, its dynamic threshold was determined by using edge-detection method and red color element point extraction method, lip was segmented and extracted in colorful face images.Each feature point of lip was located based on approximation algorithm.The movement of lip was monitored, and the state of driver fatigue was determined based on machine vision.Test result indicates that the locating algorithm can dislodge the interferences around lip effectively, pick up lip shape from original image completely, and locate the feature points of lip exactly.The algorithm has good robustness for the situations of different skin colors, different lights and different rotational angles of head.

     

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