In this paper, we present a robust tracking algorithm by representing the target at two levels: global and local levels. Accordingly, the tracking algorithm is ...
In this paper, we present a robust tracking algorithm by representing the target at two levels: global and local levels. Accordingly, the tracking algorithm is ...
Visual tracking is a challenging task in many computer vision applications due to factors such as occlusion, scale variations, background clutter, and so on ...
A novel tracking algorithm based on weighted local sub-space reconstruction error based on structural reconstruction error and a template update scheme of ...
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Nov 27, 2020 · In this paper, we propose an efficient object tracking algorithm that adaptively represents the object appearance using CNN-based features. A ...
Missing: global | Show results with:global
Bibliographic details on Visual tracking using global sparse coding and local convolutional features.
Download 32 pages fulltext PDF article from 2018 journal: Visual tracking using global sparse coding and local convolutional features.
Aug 25, 2015 · SCM learns the local features from the target and background with sparse representation. Furthermore, both CNT and SCM utilize the target ...
An efficient iterative Earth Mover's Distance (iEMD) algorithm for visual tracking is proposed in this paper. The Earth Mover's Distance (EMD) is used as ...
Missing: global | Show results with:global