Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Surrey
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Article title
Linear Regression and Adaptive Appearance Models for Fast Simultaneous Modelling and Tracking
Type
D - Journal article
Title of journal
International Journal of Computer Vision
Article number
-
Volume number
95
Issue number
2
First page of article
154
ISSN of journal
1573-1405
Year of publication
2010
URL
-
Number of additional authors
-
Additional information
This new approach to tracking visual objects which learns about object appearance on the fly - as it tracks - outperforms competing techniques in challenging scenarios. The initial work was ranked as one of the best papers for BMVC and invited for journal publication in one of the top journals in the field, IJCV. The process of online learning during tracking has gained considerable momentum, having helped form the basis of many modern tracking approaches (TLD) and the linear predictor mechanism has led to £1M of government contract research.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-