Abstract
Although airbags in the car play an important role for the safety of occupants, in fact, many peoples have been injured or killed by the deployment of airbags themselves. Such conventional airbags are deployed by the shock sensors. As an alternative approach, a vision-based smart airbag system could be promising. This paper describes a new method by which 3-D pose of the car occupant can be recognized. We combine 2-D head tracking information with a disparity map of the occupant for 3-D pose tracking. Result shows that the system can locate the head position around the passenger’s seat with a real-time basis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
National Highway Traffic Safety Administration. Air Bag Fatal and Serious Injury Summary Reports, http://www-nrd.nhtsa.dot.gov/departments/nrd-30/ncsa/TextVer/SCI.html
Owechkp, Y., Srinivasa, N., Medasani, S., Boscolo, R.: Vision-Based Fusion System for Smart Airbag Applicaions. In: IEEE, Intelligent Vehicle Symposium, vol. 1, pp. 245–250 (2002)
Reyna, R., Giralt, A., Esteve, D.: Head Detection Inside Vehicles with a Modified SVM for Safer Airbags. In: IEEE Intelligent Transportation Systems Conference, pp. 268–272 (2001)
Alefs, B., Clabian, M., Bischof, H., Kropatsh, W., Khairallah, F.: Robust Occupancy Detection from Stereo Images. In: IEEE Intelligent Transportation Systems Conference (2004)
Huang, K., Trivedi, M.: Robust Real-Time Detection, Tracking, and Pose Estimation of Faces in Video Streams. In: 17th International Conference on Pattern Recognition, vol. 3, pp. 965–968 (2004)
Lucas, B., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the International Joint Conference on Artificial Intelligence, pp. 674–679 (1981)
Baker, S., Matthews, I.: Lucas-Kanade 20 years on: A unifying framework. International Journal of Computer Vision 56(3), 221–225 (2004), Previously appeared as CMU Robotics Institute Technical Report CMU-RI-TR-02-16
Sun, C.: A Fast Stereo Matching Method. In: Digital Image Computing: Techniques and Applications, Massey University, Auckland, New Zealand, December 10-12, pp. 95–100 (1997)
Hartley, R., Zisserman, A.: Multiple View Geometry in computer vision. Cambridge University Press, Cambridge (2000)
Baxes, G.: Digital Image Processing: principles and applications. John Wiley & Sons, New York (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, SJ., Kim, YG., Lee, JE., Jang, MS., Lee, SJ., Park, GT. (2005). 3-D Pose Tracking of the Car Occupant. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_32
Download citation
DOI: https://doi.org/10.1007/11553939_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28896-1
Online ISBN: 978-3-540-31990-0
eBook Packages: Computer ScienceComputer Science (R0)