The key idea in our method is to develop what we believe is a novel local discriminative sparse representation method for object appearance modeling, which can ...

In this paper, we propose the Similarity Measure of Local. Sparse Structure based on the similarity of the target and the discrimination of the background to ...

Abstract: To improve robustness in cases of partial occlusion, deformation and rotation in visual tracking, local similarity measurements are usually used.

This paper proposes a object tracking algorithm based on measurements of the local discriminative similarities, which achieves better performance than ...

In this paper, we propose a robust object-tracking algorithm via local discriminative sparse representation. The key idea in our method is to develop what we ...

Missing: analysis | Show results with:analysis

To improve robustness in cases of partial occlusion, deformation and rotation in visual tracking, local similarity measurements are usually used.

In this paper, we propose a novel and robust object tracking algorithm based on sparse representation. Object tracking is formulated as a object recognition ...

Apr 5, 2016 · In this algorithm, the object is divided into several sub-regions, and the sparse dictionaries are obtained by clustering in each sub-region.

In this paper, we propose a new robust object tracking method based on the. PCA and local sparse representation (LSR). First, candidates are reconstructed ...