Fast and robust appearance-based tracking

Liwicki, Stephan and Zafeiriou, Stefanos and Tzimiropoulos, Georgios and Pantic, Maja (2011) Fast and robust appearance-based tracking. In: 2011 IEEE International Conference on Automatic Face & Gesture Recognition (FG 2011), 21-25 March 2011, Santa Barbara, California, USA.

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (595kB) | Preview

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Correlation methods, Estimation theory, Image sequences, Object tracking, Principal component analysis
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Depositing User: Tzimiropoulos, Yorgos
Date Deposited: 01 Feb 2016 09:33
Last Modified: 17 Sep 2016 23:22
URI: http://eprints.nottingham.ac.uk/id/eprint/31419

Actions (Archive Staff Only)

Edit View Edit View