Superpixel-driven level set tracking
Xue Song Zhou, Xi Li, Tat-Jun Chin, David Suter · 2012
In this paper, we propose a superpixel-driven method for level set tracking. In particular, by taking a superpixel-based speed function, the level set evolution is accelerated greatly. We define a mutual information based speed function using a superpixel-unit as the underlying representation, which captures the correlation of a superpixel with object/background. In order to enhance the robustness of our method, a shape prior is incorporated to constrain the contour evolution. Experimental results on a number of challenging sequences demonstrate the effectiveness and robustness of our method.