Target detection method and device based on algorithm fusion, and medium

The invention discloses a target detection method and device based on algorithm fusion, and a medium, mainly relates to the technical field of target detection, and is used for solving the technical problems that the false alarm rate of an alarm target is relatively high and the accuracy rate of small target detection is low in the existing target detection algorithm. The method comprises the steps of obtaining a to-be-tested picture and inputting the to-be-tested picture to a first neural network model by a server to obtain a plurality of target types corresponding to the to-be-tested picture; when the target type which is the preset alarm type does not exist, inputting a to-be-tested picture to the background modeling model to obtain dynamic target data corresponding to the to-be-tested picture; preprocessing the dynamic target data to obtain effective target data; inputting the effective target data to the second neural network model to obtain a target type corresponding to the effective target data; and w