Real-time visual tracking using compressive sensing
Date
2011
Authors
Li, Hanxi
Shen, Chunhua
Shi, Qinfeng
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Volume Title
Publisher
IEEE Computer Society
Abstract
The ℓ1 tracker obtains robustness by seeking a sparse representation of the tracking object via ℓ1 norm minimization. However, the high computational complexity involved in the 1 tracker may hamper its applications in real-time processing scenarios. H
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Keywords
Keywords: Background model; Dimensionality reduction; Orthogonal matching pursuit; Real time; Realtime processing; Signal recovery; Sparse representation; Stationary cameras; Tracking accuracy; Tracking objects; Video sequences; Visual Tracking; Algorithms; Computa
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Source
Graph connectivity in sparse subspace clustering
Type
Conference paper
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Restricted until
2037-12-31
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