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Thesis

Shape knowledge for segmentation and tracking

Abstract:

The aim of this thesis is to provide methods for 2D segmentation and 2D/3D tracking, that are both fast and robust to imperfect image information, as caused for example by occlusions, motion blur and cluttered background. We do this by combining high level shape information with simultaneous segmentation and tracking.

We base our work on the assumption that the space of possible 2D object shapes can be either generated by projecting down known rigid 3D shapes or learned from 2D shape...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Research group:
Active Vision Group
Oxford college:
Balliol College
Role:
Author

Contributors

Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
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Name:
Engineering and Physical Sciences Research Council
Funding agency for:
Prisacariu, VA
Publication date:
2012
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Subjects:
UUID:
uuid:68dd7205-219a-45e1-830d-f55e530ed8aa
Local pid:
ora:6518
Deposit date:
2012-10-18

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