Fast and Robust Appearance-based Tracking


Share/Save/Bookmark

Liwicki, Stephan and Zafeiriou, Stefanos and Tzimiropoulos, Georgios and Pantic, Maja (2011) Fast and Robust Appearance-based Tracking. In: IEEE International Conference on Automatic Face & Gesture Recognition and Workshops, FG 2011, 21-25 March 2011, Santa Barbara, CA.

[img]PDF
Restricted to UT campus only
: Request a copy
1350Kb
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
Copyright:© 2011 IEEE
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/79504
Official URL:http://dx.doi.org/10.1109/FG.2011.5771449
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page