Airport bird detection requires a precise and reliable detection method for small and weakly moving targets because bird strikes are the primary accident sources affecting airport safety. The airport bird detection was realized under a wide field of view and against a complex background after completing experiments under various lighting conditions. The light field fluctuations were used to enhance the low signal-to-noise ratio of the bird motion characteristic signal, and the local Gaussian mixture model was used to segment the foreground of the image enhancement area. The experimental findings demonstrate the effectiveness of the proposed algorithm in increasing the detection rate of dim small targets with long distances, a wide field of view, and low signal-to-noise ratios while having better optical stability.