Tracking Faces in Grayscale Video Sequences with "Binary Direction Vectors" - Introduction and Evaluation of Binary Direction Vectors as a New Local ... Faces with the "OpenCV CAMSHIFT Tracker" - Couverture souple

Hoffmann, Hajo

Couverture souple

ISBN 10 : 3836499320 ISBN 13 : 9783836499323

Editeur : VDM Verlag Dr. Mueller E.K., 2008

Synopsis

This diploma thesis introduces a novel, color- independent feature for image analysis. Furthermore, it describes an application prototype using this feature for face-tracking and its extensive evaluation. The main achievement of this thesis is the development of an alternative, simple and robust basis for face-tracking solutions and other image processing purposes. This novel method allows the encoding of local, structural features that are recognizeable in gray-scale images as so-called Binary Direction Vectors (BDVs). This representation of structural information is successfully combined with the existing tracking algorithm "OpenCV CAMSHIFT Tracker", to demonstrate the simple handling of BDVs. The tracking precision of the CAMSHIFT/BDV combination is increased by modifying the statistical analysis that is used by the tracking algorithm. The supremacy of the modified version of the tracking algorithm over the original version is proved with an extensive empirical evaluation. These evaluation series also demonstrate how tracking systems can be compared in a precise and scientifically founded way.

Détails de l'édition

• Éditeur: VDM Verlag Dr. Mueller E.K.
• Date d'édition: 2008
• Langue: anglais
• ISBN 10: 3836499320
• ISBN 13: 9783836499323
• Reliure: Broché
• Nombre de pages: 104
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible