Thesis
Learning dynamical models for visual tracking
- Abstract:
-
Using some form of dynamical model in a visual tracking system is a well-known method for increasing robustness and indeed performance in general. Often, quite simple models are used and can be effective, but prior knowledge of the likely motion of the tracking target can often be exploited by using a specially-tailored model. Specifying such a model by hand, while possible, is a time-consuming and error-prone process. Much more desirable is for an automated system to learn a model from ...
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Authors
Contributors
+ Blake, A
Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
+ Ripley, B
Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
Funding
+ Engineering and Physical Sciences Research Council
More from this funder
Funding agency for:
North, B
Bibliographic Details
- Publication date:
- 1998
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:6ed12552-4c30-4d80-88ef-7245be2d8fb8
- Local pid:
- ora:12339
- Deposit date:
- 2015-11-02
Terms of use
- Copyright holder:
- North, B
- Copyright date:
- 1998
- Licence:
- CC Attribution-ShareAlike (CC BY-SA)
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