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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

DOI

10.1007/s11263-010-0364-4

Title of journal

International Journal of Computer Vision

Article number

Volume number

Issue number

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

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract