Fast and Robust Appearance-based Tracking

Stephan Liwicki; Stefanos Zafeiriou; Georgios Tzimiropoulos; Maja Pantic

doi:10.1109/FG.2011.5771449

Fast and Robust Appearance-based Tracking

Stephan Liwicki, Stefanos Zafeiriou, Georgios Tzimiropoulos, Maja Pantic

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

Abstract

We introduce a fast and robust subspace-based approach to appearance-based object tracking. The core of our approach is based on Fast Robust Correlation (FRC), a recently proposed technique for the robust estimation of large translational displacements. We show how the basic principles of FRC can be naturally extended to formulate a robust version of Principal Component Analysis (PCA) which can be efficiently implemented incrementally and therefore is particularly suitable for robust real-time appearance-based object tracking. Our experimental results demonstrate that the proposed approach outperforms other state-of-the-art holistic appearance-based trackers on several popular video sequences.

Original language	Undefined
Title of host publication	IEEE International Conference on Automatic Face & Gesture Recognition and Workshops (FG 2011)
Place of Publication	USA
Publisher	IEEE Computer Society
Pages	507-513
Number of pages	7
ISBN (Print)	978-1-4244-9140-7
DOIs	https://doi.org/10.1109/FG.2011.5771449
Publication status	Published - Mar 2011
Event	9th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2011 - Santa Barbara, United States Duration: 21 Mar 2011 → 25 Mar 2011 Conference number: 9

Publication series

Name
Publisher	IEEE Computer Society

Conference

Conference	9th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2011
Abbreviated title	FG
Country/Territory	United States
City	Santa Barbara
Period	21/03/11 → 25/03/11

Keywords

METIS-285041
IR-79504
Video sequences
Kernel
Robustness
HMI-MI: MULTIMODAL INTERACTIONS
Principal component analysis
Pixel
Tracking
EC Grant Agreement nr.: FP7/231287
EWI-21349
Face

Access to Document

10.1109/FG.2011.5771449

http://eprints.eemcs.utwente.nl/secure2/21349/01/pantic_fast_and_robust_apperance-based_tracking.pdf

Cite this

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title = "Fast and Robust Appearance-based Tracking",

abstract = "We introduce a fast and robust subspace-based approach to appearance-based object tracking. The core of our approach is based on Fast Robust Correlation (FRC), a recently proposed technique for the robust estimation of large translational displacements. We show how the basic principles of FRC can be naturally extended to formulate a robust version of Principal Component Analysis (PCA) which can be efficiently implemented incrementally and therefore is particularly suitable for robust real-time appearance-based object tracking. Our experimental results demonstrate that the proposed approach outperforms other state-of-the-art holistic appearance-based trackers on several popular video sequences.",

keywords = "METIS-285041, IR-79504, Video sequences, Kernel, Robustness, HMI-MI: MULTIMODAL INTERACTIONS, Principal component analysis, Pixel, Tracking, EC Grant Agreement nr.: FP7/231287, EWI-21349, Face",

author = "Stephan Liwicki and Stefanos Zafeiriou and Georgios Tzimiropoulos and Maja Pantic",

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year = "2011",

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doi = "10.1109/FG.2011.5771449",

language = "Undefined",

isbn = "978-1-4244-9140-7",

publisher = "IEEE Computer Society",

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booktitle = "IEEE International Conference on Automatic Face & Gesture Recognition and Workshops (FG 2011)",

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Liwicki, S, Zafeiriou, S, Tzimiropoulos, G & Pantic, M 2011, Fast and Robust Appearance-based Tracking. in IEEE International Conference on Automatic Face & Gesture Recognition and Workshops (FG 2011). IEEE Computer Society, USA, pp. 507-513, 9th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2011, Santa Barbara, California, United States, 21/03/11. https://doi.org/10.1109/FG.2011.5771449

Fast and Robust Appearance-based Tracking. / Liwicki, Stephan; Zafeiriou, Stefanos; Tzimiropoulos, Georgios; Pantic, Maja.

IEEE International Conference on Automatic Face & Gesture Recognition and Workshops (FG 2011). USA : IEEE Computer Society, 2011. p. 507-513.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - We introduce a fast and robust subspace-based approach to appearance-based object tracking. The core of our approach is based on Fast Robust Correlation (FRC), a recently proposed technique for the robust estimation of large translational displacements. We show how the basic principles of FRC can be naturally extended to formulate a robust version of Principal Component Analysis (PCA) which can be efficiently implemented incrementally and therefore is particularly suitable for robust real-time appearance-based object tracking. Our experimental results demonstrate that the proposed approach outperforms other state-of-the-art holistic appearance-based trackers on several popular video sequences.

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KW - Pixel

KW - Tracking

KW - EC Grant Agreement nr.: FP7/231287

KW - EWI-21349

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