Fast and robust appearance-based tracking

Liwicki, S. and Zafeiriou, S. and Tzimiropoulos, Georgios and Pantic, M. (2011) Fast and robust appearance-based tracking. In: Conference of 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011, 21-25 March 2011, Santa Barbara, CA.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

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. © 2011 IEEE.

Additional Information:; CConference Code: 85149
Keywords:Appearance based, Basic principles, Object Tracking, Robust estimation, Translational displacements, Video sequences, Face recognition, Principal component analysis, Gesture recognition
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
ID Code:8732
Deposited On:08 Apr 2013 15:52

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