Running state recognition in videos via frames´ frequency and positions of two feet

In order to analyze and recognize the running state in athletic sports, this paper proposed a running state analysis method through image processing technique in videos. First, the runner´s feet´s positions in video sequences (i.e., images) were analyzed via image segmentation. Second, since the frames in every second is 24, then the times of the feet´s positions´ changes can be obtained, thus to determine the feet´s frequencies, i.e., the runner´s running state: fast running, slow running or walking, in which a state mode is built for general running state analysis. Experiments proved the method´s efficiency.