An Occupant Sensing System Using Single Video Camera and Ultra-sonic Sensor for Advanced Airbag

In this paper, we proposed an occupant detection system using single video camera and a distance sensor for an advanced airbag deployment. We detected occupant face using skin color and motion information in real time. The proposed method acquired the color and size of the occupant face using single video camera and calculated the distance information between the occupant and airbag using a distance sensor. The skin color is acquired by influence of surrounding illuminance. In case of night, we detected occupant face using luminance information in a camera image. And we used a distance sensor to calculate the threedimensional position information of occupant at day and night. We performed various experiment with camera and vehicle jig to evaluate performance of proposed occupant detection system for smart airbag. Our experiments showed that proposed occupant detection system is able to be put to practical use in smart airbag. And proposed face detection algorithm is more simple and faster than the previous algorithms.

[1]  Ian Craw,et al.  Automatic extraction of face-features , 1987, Pattern Recognit. Lett..

[2]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[3]  Mohan M. Trivedi,et al.  Occupant posture analysis with stereo and thermal infrared video: algorithms and experimental evaluation , 2004, IEEE Transactions on Vehicular Technology.

[4]  Jiexin Pu,et al.  Face Detection Based on Two Dimensional Principal Component Analysis and Support Vector Machine , 2006, 2006 International Conference on Mechatronics and Automation.

[5]  S.J. Krotosky,et al.  Face detection and head tracking using stereo and thermal infrared cameras for "smart" airbags: a comparative analysis , 2004, Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749).

[6]  V. Kshirsagar,et al.  Face recognition using Eigenfaces , 2011, 2011 3rd International Conference on Computer Research and Development.