Beef cattle behavior identification method based on video spatial-temporal characteristics

The invention provides a beef cattle behavior recognition method based on video spatial-temporal characteristics. The method comprises the following steps: S1, constructing a beef cattle behavior data set; s2, constructing a beef cattle behavior recognition model: constructing the beef cattle behavior recognition model by adopting a double-branch frequency spectrum channel space-time aggregation and excitation model, wherein the beef cattle behavior recognition model comprises a video sampling module, a feature extraction network and a prediction module; s3, beef cattle behavior recognition model training; and S4, beef cattle behavior identification. According to the method, frames with significant motion differences can be extracted from a video frame sequence, and beef cattle motion information is ensured to be fully reserved; furthermore, long and short spatial-temporal features in the video are extracted through a motion excitation module and a motion aggregation module, motion characterization weights of