Items related to Tracking Faces in Grayscale Video Sequences with "Binary...

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" - Softcover

Hoffmann, Hajo

 
9783836499323: 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"
Softcover
ISBN 10: 3836499320 ISBN 13: 9783836499323
Publisher: 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.

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Product Description

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

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Publisher
VDM Verlag Dr. Mueller E.K.
Publication date
2008
Language
English
ISBN 10 
3836499320
ISBN 13 
9783836499323
Binding
Paperback
Number of pages
104