Visual Tracking via Nonlocal Similarity Learning.

Either global (e.g., intensity histograms and coefficients of sparse representation) or local (e.g., scale-invariant feature transform and histogram of oriented gradient) feature representations have been widely exploited for visual tracking. However, most of these representations describe a target appearance with a fixed spatial grid layout without considering the interactions between different g...