Wild animal appearing and disappearing detection method based on recursive multi-feature fusion

The invention discloses a wild animal appearing and disappearing detection method based on recursive multi-feature fusion, and the method comprises the steps of collecting a video through a camera disposed in a natural reserve, carrying out frame extraction processing on the video, obtaining a large number of pictures, taking the pictures as a sample data set, and marking the class of each animal of the sample pictures in the sample data set; establishing a Cascade R-CNN target detection model fused with a recursive Re-BiFPN structure; training the established target detection model by using the sample data set to obtain a wild animal appearing and disappearing detection model; and inputting the video pictures acquired by the camera in the natural reserve into the wild animal appearing and disappearing detection model for wild animal detection. According to the method, the feature extraction capability of a network can be effectively improved, the accuracy of wild animal target detection is improved, and the