Unmanned aerial vehicle target tracking method based on anchor frame matching and Siamese network

The invention discloses an unmanned aerial vehicle target tracking method based on anchor frame matching and a Siamese network, and the method comprises the following steps: building a five-layer Siamese network and a region suggestion network RPN comprising a classification branch and a regression branch, obtaining a target position through the classification branch, and obtaining a target scale through the regression branch; applying a dynamic anchor frame matching criterion to a training stage and for optimizing a classification task and a regression task, so that prediction of one task can dynamically design an anchor frame sample to improve a model of the other task, two branch models of RPN can learn each other, and the position and the scale of a target can be obtained more quickly and accurately; in the tracking stage, obtaining first K candidate frames with the highest score near a target to establish a target search library, then finding a most reliable prediction frame out by using a region of inte