Real-Time Object Tracking with Motion Information

Motion is a vital information for object tracking. However, most existing methods, including the classic Siamese FC network [1], only consider the object appearance, and ignore the vital motion feature. In this paper, we design a dual-network object tracker, which is called DOT for short, to effectively combine the appearance and motion information. Our method employs two branches, S-net and M-net, to exploit the appearance and motion information respectively. Moreover, an attention fusion module is also introduced to effectively integrate these two aspects. The experiments carried out on OTB-2013 demonstrate the improvement on object tracking by the integration of motion information with our dual-network and attention fusion.