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	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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language = "Undefined",

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

publisher = "IEEE Computer Society",

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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, 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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AU - Pantic, Maja

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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 - EWI-21349

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