Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Tracking Faces in Grayscale Video Sequences with "Binary Direction Vectors" - Introduction and Evaluation of Binary Direction Vectors as a New Local S

Tracking Faces in Grayscale Video Sequences with "Binary Direction Vectors" - Introduction and Evaluation of Binary Direction Vectors as a New Local S

Hoffmann, Hajo

Paperback

General Computers

ISBN10: 3836499320
ISBN13: 9783836499323
Publisher: Vdm Verlag
Published: May 9 2008
Pages: 104
Weight: 0.33
Height: 0.22 Width: 6.00 Depth: 9.00
Language: English
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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