Video motion recognition method based on fusion of sorting pooling and spatial features

The invention provides a video motion recognition method based on fusion of sorting pooling and spatial features. The method comprises: on the basis of a video local feature descriptor algorithm, a basic visual feature vector set is extracted for each video; multi-scale segmentation is carried out on two-dimensional space for each frame of image in each video to construct a two-dimensional spatialpyramid model; video basic feature vector sets in each sub space in the pyramid model are arranged according to a frame sequence time sequence; smooth operation is carried out on an ordered basic feature vector sequence in each sub space independently; the ordered basic feature vector sequence after the smooth operation in each sub space is processed by using a sorting pooling algorithm and learning is carried out to obtain model parameters belonging to the sub space; the model parameters obtained in all sub space in the pyramid model are connected in series to obtain a feature vector as a final video feature vector;