Accurate 3D head pose estimation under real-world driving conditions: A pilot study

Martin Breidt, Heinrich Bulthoff, Cristobal Curio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Reliable and accurate car driver head pose estimation is an important function for the next generation of Advanced Driver Assistance Systems that need to consider the driver state in their analysis. For optimal performance, head pose estimation needs to be non-invasive, calibration-free and accurate for varying driving and illumination conditions. In this pilot study we investigate a 3D head pose estimation system that automatically fits a statistical 3D face model to measurements of a driver's face, acquired with a low-cost depth sensor on challenging real-world data. We evaluate the results of our sensor-independent, driver-Adaptive approach to those of a state-of-The-Art camera-based 2D face tracking system as well as a non-Adaptive 3D model relative to own ground-Truth data, and compare to other 3D benchmarks. We find large accuracy benefits of the adaptive 3D approach. Our system shows a median error of 5.99 mm for position and 2.12° for rotation while delivering a full 6-DOF pose with very little degradation from strong illumination changes or out-of-plane rotations of more than 50°. In terms of accuracy, 95% of all our results have a position error of less than 9.50 mm, and a rotation error of less than 4.41° Compared to the 2D method, this represents a 59.7% reduction of the 95% rotation accuracy threshold, and a 56.1% reduction of the median rotation error.

Original languageEnglish
Title of host publication2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1261-1268
Number of pages8
ISBN (Electronic)9781509018895
DOIs
Publication statusPublished - 2016 Dec 22
Externally publishedYes
Event19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016 - Rio de Janeiro, Brazil
Duration: 2016 Nov 12016 Nov 4

Other

Other19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016
CountryBrazil
CityRio de Janeiro
Period16/11/116/11/4

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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    Breidt, M., Bulthoff, H., & Curio, C. (2016). Accurate 3D head pose estimation under real-world driving conditions: A pilot study. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016 (pp. 1261-1268). [7795719] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2016.7795719