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Recently, sparse representation has been applied in object tracking successfully. However, the existing sparse representation captures either the holistic features of the target or the local features of the target. In this paper, we propose a dual-scale structural local sparse appearance (DSLSA) model based on overlapped patches, which can capture the quasi-holistic features and the local features...
In visual tracking, the main problem is to find candidates that are most likely to be the target in successive frames, so it is important to design a proper mechanism to evaluate this. In this paper, we propose a novel sparse representation based visual tracking algorithm, which well integrates the temporal and spatial context information of tracking objects into a unified framework. Specifically,...
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