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


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


1. Auflage

von: Kevin Mader, Gil Reese

13,99 €

Verlag: Grin Verlag
Format: EPUB, PDF
Veröffentl.: 05.11.2007
ISBN/EAN: 9783638849722
Sprache: englisch
Anzahl Seiten: 13

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Beschreibungen

Seminar paper from the year 2006 in the subject Computer Science - Applied, grade: A, Boston University, course: Digital Image Processing and Communication, language: English, abstract: 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.

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