Probability tag-based target tracking method and system, terminal and medium

The invention provides a target tracking method and system based on a probability label, a terminal and a medium, and the method comprises the steps: constructing a template tracker, and training the template tracker through employing a conventional label; generating a probability label by using the trained template tracker; constructing a target tracker based on the template tracker, and training the target tracker by adopting the probability label; and tracking a given target by using the trained target tracker, and outputting a target tracking result. The probability label is output of the template tracker after softmax normalization, and each value represents the probability of the target at the central position of the corresponding candidate area. The target tracker is a lightweight network designed on the basis of a classical neural network. The training target is not a binary label but a probability label. Through training, the output result of the target tracker approaches the template tracker, so tha