Self-Matching Moving Target Detection Algorithm Based On Gaussian Mixture Model And CSIFT

With the development of unmanned aerial vehicle (UAV) technology, more and more unmanned aerial vehicles have entered various fields, including the aspect of moving target detection. Due to the characteristics of the drone, the captured video does not have a fixed background, which makes the traditional moving target detection algorithm unusable. Herein, this paper proposes a self-matching detection algorithm based on Gaussian mixture model and CSIFT. This algorithm is applied to unmanned On board, under the background of moving targets, the target can be identified when there is relative movement between the target and the background.