Exercise in Vehicle Detection

摘要

In this paper methods of detecting a vehicle in an image are explored. Digital images are taken from a monocular camera Image processing techniques are then applied to the resulting single frames in order to create the feature vector. Finally the resulting features are used to classify whether there is a car in the image or not using support vector machines. These results are compared to those obtained using a neural network. A discussion on techniques to enhance the feature vector and the results from both types of learning machines will be included.