Yawning detection for monitoring driver fatigue based on two cameras

Driver fatigue is one of the main reasons causing traffic accidents. Yawning is an important character of driver fatigue. Mouth geometric character represents state of driver. So driver's mouth detection and information extraction is especially important. This paper proposes to locate and track driver's mouth using two CCD cameras to detect driver's fatigue in real-time. One of them is with cloud platform control. Camera A, which is fixed, is mainly used to supply driver's head position. Camera B, which is controllable, is to locate driver's mouth and extract mouth information. First, collecting monitoring video of camera A (low resolution ratio) and locate driver's face using fast image processing algorithm. Second, the authors send commands to camera B (high resolution ratio) through serial port to make it shoot driver's head all the time according to face position in Camera A. Then the authors use haar-like features to detect driver's mouth in camera B and track it according to historical position. At last, yawning is detected by the ratio of mouth height and width. Through this method the resolution ratio of driver's mouth is higher than one camera and the feature information is more accuracy. It provides a better basis for driver fatigue judging.

• Record URL:
  https://doi.org/10.1109/ITSC.2009.5309841
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5305882
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Lingling, Li
  • Yangzhou, Chen
  • Zhenlong, Li
• Conference:
  • 12th International IEEE Conference on Intelligent Transportation Systems (ITSC 2009)
  • Location: St. Louis Missouri, United States
  • Date: 2009-10-4 to 2009-10-7
• Publication Date: 2009-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 6p
• Monograph Title: 12th International IEEE Conference on Intelligent Transportation Systems (ITSC 2009)

Subject/Index Terms

• TRT Terms: Charge coupled devices; Detection and identification systems; Digital cameras; Drivers; Fatigue (Physiological condition); Real time data processing; Traffic crashes
• Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01574569
• Record Type: Publication
• ISBN: 9781424455195
• Files: TRIS
• Created Date: Aug 14 2015 6:09PM