DocumentCode :
3221918
Title :
A new head pose estimating algorithm based on a novel feature space for driver assistant systems
Author :
Ghaffari, Ali ; Rezvan, Mahdieh ; Khodayari, Alireza ; Sadati, Seyyed Hossein ; Vahidi-Shams, Afra
Author_Institution :
Islamic Azad Univ., Tehran, Iran
fYear :
2011
fDate :
16-18 Nov. 2011
Firstpage :
180
Lastpage :
185
Abstract :
This paper introduces a Direct Accountability technique for real-time estimation of head´s position and orientation. Unlike existing works which rely on feature extraction either in the image domain or in 3D space, our proposed approach based on expert classifiers ordering estimates the head pose for real-time applications, such as human-machine interaction (HMI) and video-based surveillance systems. In this paper a method for feature extraction is proposed which aims to keep only the angle related features that are independent of identity. Moreover a performance study is provided aiming to evaluate the accuracy of the proposed approach. Experimental results show that the proposed features could describe the pose of driver face image successfully, and have a good performance in real scenes specially for automobile safety and security and driver assistant devices.
Keywords :
automobiles; driver information systems; feature extraction; image classification; pose estimation; road safety; video surveillance; automobile safety; direct accountability technique; driver assistant system; expert classifier; feature extraction; feature space; head pose estimating algorithm; human-machine interaction; image domain; real-time estimation; security; video-based surveillance system; Estimation; Face; Feature extraction; Image edge detection; Magnetic heads; Vehicles; Driver Behaviours Surveillance; Head pose estimation; Human-Machine Interface; intelligence Automotive Systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0243-3
Type :
conf
DOI :
10.1109/ICSIPA.2011.6144132
Filename :
6144132
Link To Document :
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