Support vector machine application on vehicles

Michael Del Rose; Jack Reed

doi:10.1117/12.448342

14 November 2001 Support vector machine application on vehicles

Michael Del Rose, Jack Reed

Proceedings Volume 4479, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation IV; (2001) https://doi.org/10.1117/12.448342
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

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

Citation Download Citation

Michael Del Rose and Jack Reed "Support vector machine application on vehicles", Proc. SPIE 4479, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation IV, (14 November 2001); https://doi.org/10.1117/12.448342

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