A tracking and locating method for UAVs Vision System
Linlin Zhu, Baojie Fan, Yingkui Du, Yandong Tang · 2010
We proposed a tracking and location method for UAVs' Vision System. In our method, the target is extracted from the ROI (Region of Interested) automatically by an analysis of intensity value distribution; then the mean-shift tracker is used to get the target's position in the sequence images; The relative position of the target to the vision system in the real world is reconstructed just by monocular camera according to the parameter of fight system. The experimental results validate the practicability of our system.