DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking
Deep neural networks, albeit their great success on feature learning in various computer vision tasks, are usually considered as impractical for online visual tracking because they require very long training time and a large number of training samples. In this work, we present an efficient and very robust tracking algorithm …