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

Nonfiction, Computers, Programming
Cover of the book Using Covariance Matrices as Feature Descriptors for Vehicle Detection from a Fixed Camera by Kevin Mader, Gil Reese, GRIN Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Kevin Mader, Gil Reese ISBN: 9783638849722
Publisher: GRIN Publishing Publication: November 5, 2007
Imprint: GRIN Publishing Language: English
Author: Kevin Mader, Gil Reese
ISBN: 9783638849722
Publisher: GRIN Publishing
Publication: November 5, 2007
Imprint: GRIN Publishing
Language: English

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

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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

More books from GRIN Publishing

Cover of the book The development, pilot and randomised controlled trial of a psychosexual rehabilitation information booklet for women undergoing pelvic radiation therapy for gynaecological or anorectal cancer by Kevin Mader, Gil Reese
Cover of the book Außerschulischer Lernort am Oberrhein: Das Römermuseum Stettfeld by Kevin Mader, Gil Reese
Cover of the book Nestlé and its impact on the local community of a host country in the light of an ethical stakeholder theory by Kevin Mader, Gil Reese
Cover of the book The Problem-Solution Pattern and Advertising by Kevin Mader, Gil Reese
Cover of the book The Different Implications of the Name 'Middlesex' in the Novel of the Same Name by Jeffrey Eugenides by Kevin Mader, Gil Reese
Cover of the book Edgar Allan Poe and Europe - Reception and Influence by Kevin Mader, Gil Reese
Cover of the book Continuous Replenishment by Kevin Mader, Gil Reese
Cover of the book Multilingualism within Nation States and the Danger of Separation by Kevin Mader, Gil Reese
Cover of the book Dickensian characters - real or nil? An analysis of characters in Our Mutual Friend by Kevin Mader, Gil Reese
Cover of the book Germany vs. US - Two Welfare Regimes seen from the Gender perspective by Kevin Mader, Gil Reese
Cover of the book False heroism in Sean O'Casey's 'The Shadow of a Gunman' by Kevin Mader, Gil Reese
Cover of the book Pakistan - Die Herausforderung des Terrorismus im Atomstaat by Kevin Mader, Gil Reese
Cover of the book How to do business in Spain - a guide by Kevin Mader, Gil Reese
Cover of the book Clausewitz on COUNTERINSURGENCY by Kevin Mader, Gil Reese
Cover of the book The siege of Khe Sanh. An extreme case of crisis journalism? by Kevin Mader, Gil Reese
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy