Infant dangerous action detection and identification method based on pose estimation and improved YOLOXtiny

The invention discloses an infant dangerous action detection and identification method based on pose estimation and improved YOLOXtiny, and the method comprises the steps: obtaining a video frame from a camera, and carrying out the preprocessing of the input video frame; secondly, inputting the preprocessed video frames into a position and attitude estimation algorithm and a YOLOXtiny target detection algorithm improved based on model pruning and a fusion space attention mechanism so as to obtain the number of skeleton points, interested target areas and category detection result data in each frame of picture; wherein the target detection algorithm is obtained by using a self-built data set and training in a transfer learning mode; then, the obtained data are processed and fused, so that the accurate recognition capability of different dangerous actions is improved; and finally, designing rules by utilizing the processed and fused data to judge normal and dangerous action states of the infant and give an alar