TY - GEN
T1 - Long-term cooperative tracking using multiple unmanned aerial vehicles
AU - Yang, Yue
AU - Zhai, Shuhang
AU - Ramesh, Bharath
AU - Zheng, Xiaoxu
AU - Xiang, Cheng
AU - Chen, Ben M.
AU - Lee, Tong Heng
PY - 2016
Y1 - 2016
N2 - ![CDATA[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.]]
AB - ![CDATA[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.]]
UR - https://hdl.handle.net/1959.7/uws:67211
U2 - 10.1109/ICCA.2016.7505252
DO - 10.1109/ICCA.2016.7505252
M3 - Conference Paper
SN - 9781509017386
SP - 56
EP - 61
BT - Proceedings of 2016 12th IEEE International Conference on Control & Automation (ICCA 2016), Kathmandu, Nepal, 1-3 June 2016
PB - IEEE
T2 - International Conference on Control and Automation
Y2 - 3 July 2017
ER -