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Using Covariance Matrices as Feature Descriptors for Vehicle Detection from a Fixed Camera

by BS Kevin Mader (Author) Gil Reese (Author)

Term Paper 2006 13 Pages

Computer Science - Applied

Summary

A method is developed to distinguish between cars and trucks present in a video feed of a highway. The method builds upon previously done work using covariance matrices
as an accurate descriptor for regions. Background subtraction and other similar proven image processing techniques are used to identify the regions where the vehicles are most likely to be, and a distance metric comparing the vehicle inside the region to a fixed library of vehicles is used to determine the class of vehicle.

Details

Pages
13
Year
2006
ISBN (eBook)
9783638849722
File size
1.1 MB
Language
English
Catalog Number
v75134
Institution / College
Boston University
Grade
A
Tags
Using Covariance Matrices Feature Descriptors Vehicle Detection Fixed Camera Digital Image Processing Communication

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Title: Using Covariance Matrices as Feature Descriptors for Vehicle Detection from a Fixed Camera