Monitoring head dynamics for driver assistance systems: A multi-perspective approach

A visually demanding driving environment, where elements surrounding a driver are constantly and rapidly changing, requires a driver to make spatially large head turns. Many existing state of the art vision based head pose algorithms, however, still have difficulties in continuously monitoring the head dynamics of a driver. This occurs because, from the perspective of a single camera, spatially large head turns induce self-occlusions of facial features, which are key elements in determining head pose. In this paper, the authors introduce a shape feature based multi-perspective framework for continuously monitoring the driver's head dynamics. The proposed approach utilizes a distributed camera setup to observe the driver over a wide range of head movements. Using head dynamics and a confidence measure based on symmetry of facial features, a particular perspective is chosen to provide the final head pose estimate. The analysis on real world driving data shows promising results.

• Record URL:
  https://doi.org/10.1109/ITSC.2013.6728568
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6712176
• 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:
  • Martin, S
  • Tawari, A
  • Trivedi, Mohan Manubhai
• Conference:
  • 16th International IEEE Conference on Intelligent Transportation Systems (ITSC)
  • Location: The Hague , Netherlands
  • Date: 2013-10-6 to 2013-10-9
• Publication Date: 2013-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 2286-2291
• Monograph Title: 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

Subject/Index Terms

• TRT Terms: Algorithms; Cameras; Driver support systems; Drivers; Head
• Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01563527
• Record Type: Publication
• ISBN: 9781479929146
• Files: TRIS
• Created Date: May 18 2015 11:03AM