What is occupant classification system?

The occupant classification system is used to classify an occupant type into an adult, a child, a child seat, or an object. The inputs are depth images from a time-of-flight based depth camera. The images are first segmented from the background and normalized for threedimensional translations. The segmented images areprojected into Eigen shapes that are constructed from a training set. The projections are used as feature vectors for a support vector machines classification algorithm. The Eigen features and support vector machines complement each other since the former is a linear transformation to reduce the dimensionality of the space, while the latter can deduce the non-linear aspects of these lower-dimensional features.