We have developed a robust tracking algorithm using a local sparse appearance model (SPT). A static sparse dictionary and a dynamically online updated basis ...
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Oct 2, 2012 · We have developed a robust tracking algorithm using a local sparse appearance model (SPT) and K-Selection. A static sparse dictionary and a ...
Online learned tracking is widely used for it's adaptive ability to handle appearance changes. However, it intro- duces potential drifting problems due to ...
We have developed a robust tracking algorithm using a local sparse appearance model (SPT) and K-Selection. A static sparse dictionary and a dynamically ...
A robust tracking algorithm using a local sparse appearance model (SPT), a static sparse dictionary and a dynamically online updated basis distribution ...
Robust Visual Tracking Using Local Sparse Appearance Model and K ...
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We have developed a robust tracking algorithm using a local sparse appearance model (SPT) and K-Selection. A static sparse dictionary and a dynamically updated ...
We have developed a robust tracking algorithm using a local sparse appearance model (SPT) and K-Selection. A static sparse dictionary and a dynamically updated ...
Jun 20, 2011 · We have developed a robust tracking algorithm using a local sparse appearance model (SPT). A static sparse dictionary and a dynamically online ...
In this paper, we propose a visual tracking method based on local sparse covariance descriptor and matching pursuit. Covariance descriptor can model feature ...
Experimental results on several video sequences demonstrate the good performance of proposed visual tracking method compared with three existing tracking ...