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Tracking with general regression

Abstract:
A method is developed to track planar and near-planar objects by incorporating a model of the expected image template distortion, and fitting the sampling region to pre-trained examples with general regression. The approach does not assume a particular form of the underlying space, allows a natural handling of occluding objects, and permits dynamic changes of the scale and size of the sampled region. The implementation of the algorithm runs comfortably in modest hardware at video-rate. © 2007 Springer-Verlag.
Publication status:
Published

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Publisher copy:
10.1007/s00138-007-0087-x

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
Journal:
MACHINE VISION AND APPLICATIONS
Volume:
19
Issue:
1
Pages:
65-72
Publication date:
2008-01-05
DOI:
EISSN:
1432-1769
ISSN:
0932-8092
URN:
uuid:37c75d27-c7b7-4b97-8a65-51cf78c4212d
Source identifiers:
63596
Local pid:
pubs:63596

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