Vehicle shape recovery and recognition using generic models

The paper describes a method for vehicle shape recovery and recognition using a generic shape model. The generic shape model, which is able to represent different vehicle classes, is derived by principal component analysis on a set of training shapes recovered automatically from 2D image sequences. With the generic shape model, vehicle recognition can be easily achieved by fitting the model to the vehicle in each image in order to estimate the pose parameters and the shape parameters, which in turn are used to classify the vehicle. Experimental results show the feasibility of our new presented method.