Color-Based Probabilistic Tracking
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual Tracking via Sparse Representation Based Linear Subspace Model
CIT '09 Proceedings of the 2009 Ninth IEEE International Conference on Computer and Information Technology - Volume 02
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
IEEE Transactions on Information Theory
Sparse coding based visual tracking: Review and experimental comparison
Pattern Recognition
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Recent research has advocated the use of sparse representation for tracking objects instead of the conventional histogram object representation models used in popular algorithms. In this paper we propose a new tracker. The core is that the tracking results is iteratively updated by gradually optimizing the sparsity and reconstruction error. The effectiveness of the proposed approach is demonstrated via comparative experiments.