A relay dueling network for visual tracking with broad field-of-view

A deep reinforcement-learning-based method is presented for visual object tracking tasks. The key objective is to generate a sequence of actions which can move or scale the bounding box in the previous frame to track the target in the current frame. Two intelligent agents are trained to accomplish the above task with a special dueling deep Q-learning network (Dueling DQN), referred to as a relay d...