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  Accurate 3D Head Pose Estimation under Real-World Driving Conditions: A Pilot Study

Breidt, M., Bülthoff, H., & Curio, C. (2016). Accurate 3D Head Pose Estimation under Real-World Driving Conditions: A Pilot Study. In 19th International Conference on Intelligent Transportation Systems (ITSC 2016) (pp. 1261-1268). Piscataway, NJ, USA: IEEE.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-7A58-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-187F-5
Genre: Conference Paper

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 Creators:
Breidt, M1, 2, Author              
Bülthoff, HH1, 2, 3, Author              
Curio, C1, 4, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528701              
4Project group: Cognitive Engineering, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_2528702              

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 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.

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 Dates: 2016-11
 Publication Status: Published in print
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 Identifiers: DOI: 10.1109/ITSC.2016.7795719
BibTex Citekey: BreidtBC2016
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Title: 19th International Conference on Intelligent Transportation Systems (ITSC 2016)
Place of Event: Rio de Janeiro, Brazil
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Title: 19th International Conference on Intelligent Transportation Systems (ITSC 2016)
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1261 - 1268 Identifier: ISBN: 978-1-5090-1889-5