Title :
A robust head pose tracking and estimating aprouch for driver assistant system
Author :
Ghaffari, Ali ; Rezvan, Mahdieh ; Khodayari, Alireza ; Vahidi-Shams, Afra
Author_Institution :
South Tehran Branch, Mechatron. Eng. Dept., Islamic Azad Univ., Tehran, Iran
Abstract :
This paper introduces a head pose estimation method based on Geometric Approach that automatically localizes the facial components for real-time applications specially driver assistant systems (DAS) in automotive engineering, etc. We have used a statistical model to segment face regions in the image. Once a face is detected it locates the facial parts such as eyes and lips. The algorithm starts from the extraction of skin pixels and geometric features and then face poses are tracked in the image sequence. Experimental results show that the proposed features could describe the structure of driver face image successfully, and have a good performance in real scenes. Proposed system is not only useful for automobile safety and security but also can help the severely handicapped people and can be used in Driver Assistant Devices, Collision Prevention Systems and other ITS applications.
Keywords :
face recognition; image sequences; pose estimation; statistical analysis; traffic engineering computing; DAS; automotive engineering; driver assistant system; face poses; facial components; geometric approach; image sequence; real-time applications; robust head pose tracking; skin pixel extraction; statistical model; Estimation; Face; Feature extraction; Image color analysis; Magnetic heads; Skin; Driver Behavior Surveillance; Human-Machine Interface; facial components; head pose estimation; intelligence Automotive Systems;
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0576-2
DOI :
10.1109/ICVES.2011.5983811