Long-term cooperative tracking using multiple unmanned aerial vehicles

In this paper, we study the long-term cooperative tracking in large areas using multiple unmanned aerial vehicles (UAVs). Firstly, a hybrid tracking algorithm, which switches between a correlation filters based tracker and a cascaded detector, is developed for the robust long-term tracking using a single UAV. Then, a centralized cooperation strategy is proposed to achieve cooperative tracking using multiple UAVs. Finally, the developed algorithms are demonstrated using both a public database and a laboratory mock-up