Attention based discriminative visual object tracking algorithm

Abstract

Visual object tracking is one of the most important topics in computer vision, and it is widely used in many industries, such as security and self-driving. However, the existing tracking algorithms do not perform well in some difficult scenarios. One of the most difficult challenges faced by the current trackers is that when there are distractors around the object, the tracker often occurs the problem of tracking drift. To alleviate this problem, we propose a visual attention based tracking algorithm. Experiments on the benchmarks OTB2013, OTB2015 and GOT-10k show that our algorithm can achieve a good tracking performance.