A real-time approach for autonomous detection and tracking of moving objects from UAV
Pouria Sadeghi‐Tehran, Christopher Clarke, Plamen Parvanov Angelov · 2014
A new approach to autonomously detect and track moving objects in a video captured by a moving camera from a UAV in real-time is proposed in this paper. The introduced approach replaces the need for a human operator to perform video analytics by autonomously detecting moving objects and clustering them for tracking purposes. The effectiveness of the introduced approach is tested on the footage taken from a real UAV and the evaluation results are demonstrated in this paper.