Title: Head pose estimation based on 2D and 3D information
Authors: Peláez, Gustavo
Escalera, Arturo de la
Armingol, Jose
Citation: WSCG 2014: communication papers proceedings: 22nd International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 299-305.
Issue Date: 2014
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2014/!!_2014-WSCG-Communication.pdf
ISBN: 978-80-86943-71-8
Keywords: odhad pozice hlavy;detekce obličeje;ICP;bodová mračna;monitorování řidičů
Keywords in different language: head pose estimation;face detection;ICP;point clouds;driver monitoring
Abstract in different language: A solution for driver monitoring and event detection based on 3D information from a range imaging camera is presented: The system combines 2D and 3D algorithms to provide head pose estimation and regions of interest identification. Starting with the captured cloud of 3D points from the sensor and the detection of a face in the 2D projection of it, the points that correspond to the head are determined and extracted for further analysis. Later the head pose estimation with 3 degrees of freedom (Euler angles) is estimated using ICP algorithm. As a final step, the important regions of the face are identified and used for further experimentation, e.g. gaze orientation, behavior analysis and more. The resulting application is a complete 3D driver monitoring application, based on low cost sensor; it is described how to combine both 2D and 3D computer vision algorithms for future human factors research enabling the possibility to study specific factors like driver drowsiness, gaze orientation or the head pose estimation itself. The experimental results shown are compared with ground-truth head movements obtained using an IMU.
Rights: @ Václav Skala - UNION Agency
Appears in Collections:WSCG 2014: Communication Papers Proceedings

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