Automatic target tracking method for aerially photographed videos

The invention discloses an automatic target tracking method for aerially photographed videos and aims to solve the technical problem that an existing aerially photographed video target tracking method based on stable image detection and data association is high in tracking error rate. According to the technical scheme, firstly, a pyramid optical flow method is used for extracting robust optical flow track features rather than simple motion foreground segmentation; secondly, motion constraint, position constraint and existence duration constraint are utilized for effective management of an optical flow track; lastly, clustering in time dimension is conducted according to a spatial clustering result of a plurality of continuous frames to effectively solve the problem of spatial clustering errors under the conditions of target intersection and a close range between targets. According to the automatic target tracking method for the aerially photographed videos, a target tracking result is obtained on the basis of spatial clustering, and therefore the tracking error rate is lowered. Tests prove that the tracking error rate is lowered by 10% from 18% in the background art to 8%.