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Real-time visual tracking using compressive sensing

Li, Hanxi; Shen, Chunhua; Shi, Qinfeng


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

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: Graph connectivity in sparse subspace clustering
DOI: 10.1109/CVPR.2011.5995483


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