Intelligent Vehicle Experimental Test-beds


Human-Centered Driver Assistance Systems


Vision Systems for Occupant Posture Analysis

Vision Systems for Driver Analysis and Interface


Related Research

Thermal Infrared Based Occupant Posture Estimation

The feasibility of a thermal infrared based occupant posture estimation system is investigated. The basis of this method is that the thermal infrared image can be remapped to a probability of human skin temperature and subsequently segmented in this remapped form. Currently head location and size are relied upon for occupant classification.



The thermal infrared image on the left is remapped to a probability of human skin using a Gaussian distribution centered at the optimal value for human skin. The resulting image is on the right. Notice how the areas containing human skin are now brighter relative to other objects in the scene.


Using this remapped image, the best-fit ellipse/head location is determined using an edge based ellipse detector. Edges are found in the skin temperature image using Sobel operators. Given a pre-computed set of ellipse templates of various sizes, angles and eccentricities the best fit ellipse/head position is found by maximizing a cost function that takes ellipse fit and skin probability into account.


Position classification for airbag decisions can be made if depth can be obtained from ellipse size. This requires very precise and regular head location and size decisions and is currently unobtainable and is set for future research. Alternatives to this approach of extracting depth in a one-camera thermal infrared setup are also set for future research.


For references, see publications page.