Fast and robust appearance-based tracking

— 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.

• Type: Journal
• Year: 2011
• Where: FGR
• Authors: Stephan Liwicki, Stefanos Zafeiriou, Georgios Tzimiropoulos, Maja Pantic
• Keywords: Biometrics, FGR 2011, Principal Component Analysis, Principal Component Analysis Pca, Robust Estimation