Siamese-based visual tracking methods generally execute the classification and regression of the target object based on the similarity maps. However, existing works either solely employ a single map generated by the last convolutional layer which …
Most existing trackers based on discriminative correlation filters (DCF) try to introduce predefined regularization term to improve the learning of target objects, e.g., by sup-pressing background learning or by restricting change rate of correlation …
Traditional framework of discriminative correlation filters (DCF) is often subject to undesired boundary effects. Several approaches to enlarge search regions have been already proposed in the past years to make up for this shortcoming. However, with …