Correlation Tracking via Joint Discrimination and Reliability Learning
Correlation Tracking via Joint Discrimination and Reliability Learning
For visual tracking, an ideal filter learned by the correlation filter (CF) method should take both discrimination and reliability information. However, existing attempts usually focus on the former one while pay less attention to reliability learning. This may make the learned filter be dominated by the unexpected salient regions on …