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Robust Visual Object Tracking via Sparse Representation and Reconstruction
[chapter]
2013
Lecture Notes in Computer Science
Visual object tracking plays an essential role in vision based applications. Most of the previous research has limitations due to the non-discriminated features used or the focus on simple template matching without the consideration of appearance variations. To address these challenges, this paper proposes a new approach for robust visual object tracking via sparse representation and reconstruction, where two main contributions are devoted in terms of object representation and location
doi:10.1007/978-3-642-40246-3_35
fatcat:3nq7asro7bdx7ayngndel3jugy