Title :
The effect of Time-of-Flight camera integration time on vehicle driver head pose tracking accuracy
Author :
Ziraknejad, Nima ; Lawrence, Peter D. ; Romilly, Douglas P.
Author_Institution :
Dept. of the Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Abstract :
Vehicle active safety and driver assistance systems could derive substantial benefit from advanced sensory devices providing quantitative information about the position and orientation of the driver including the driver´s head. Several important applications of this information are Active Head Restraint Systems (AHRS) for whiplash mitigation, driver awareness and fatigue detection, and driver distraction detection. This paper examines how a Time-of-Flight (ToF) camera can be used to obtain an accurate measurement of the driver´s head position and orientation through the analysis of real-time depth and intensity images of the driver´s upper torso and head. A novel technique for using local image intensity compensation has been proposed and experimentally evaluated.
Keywords :
cameras; compensation; driver information systems; image colour analysis; image reconstruction; iterative methods; object tracking; pose estimation; position measurement; psychology; road safety; road vehicles; solid modelling; 3D Cartesian data reconstruction; 3D depth map generation; 3D drivers head model template; AHRS; ICP algorithm; active head restraint system; customized ToF camera integration time adjustment technique; driver assistance system; driver awareness; driver distraction detection; drivers head orientation measurement; drivers head position measurement; drivers upper torso depth; fatigue detection; illuminance distribution; iterative closest point algorithm; local image intensity compensation; real-time depth images; real-time intensity images; sensory devices; surface reflectivity; target color; target geometry; time-of-flight camera integration time effect; vehicle active safety; vehicle driver head pose tracking accuracy; whiplash mitigation; Accuracy; Cameras; Head; Reflectivity; Robot vision systems; Vehicles;
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2012 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-0992-9
DOI :
10.1109/ICVES.2012.6294298