Jan 18, 2021 · An efficient and robust visual object tracking based on sparse discriminative classier (SDC) and principal component analysis (PCA) subspace ...
Abstract: Currently, visual object tracking is a core research area as it can be applied in many applications of computer vision. However, tracking of a ...
However, tracking of a visual object is a difficult task as it can go through different varying conditions like occlusion of the target object, appearance ...
In this study, we develop a robust visual tracking algorithm by modeling the target as a model for discriminative sparse appearance. A discriminative ...
Various visual tracking approaches have been proposed for robust target tracking, among which using sparse representation of the tracking target yields ...
Dec 4, 2019 · Existing sparse representation-based visual tracking methods detect the target positions by minimizing the reconstruction error.
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The selected low-dimensional representation best discriminates the target from its neighboring background. Next we use a naive Bayesian classifier to select the ...
Sparse representation has been applied to visual track- ing by finding the best candidate with minimal reconstruc- tion error using target templates.
Supervised discriminative methods for classification and regression have also been exploited to solve visual track- ing problems. For example, Avidan (2001) ...
In this paper, we present a novel robust visual tracking algorithm based on structured sparse representation model. This model includes one fixed template, nine ...