Accession Number:

ADA459231

Title:

A Support Vector Machine Application on Vehicles

Descriptive Note:

Corporate Author:

ARMY TANK-AUTOMOTIVE COMMAND WARREN MI

Personal Author(s):

Report Date:

2001-07-01

Pagination or Media Count:

7.0

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 result 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.

Subject Categories:

  • Photography

Distribution Statement:

APPROVED FOR PUBLIC RELEASE