摘要

In this paper, the author studies the track and field sports match schedule system. The Artificial Intelligence is applied in this paper to improve the scheduling performance in this system. Therefore, this paper proposes a moving object segmentation algorithm for dynamic scenarios in order to improve the rationality of the system. Our scheme computes global moving parameters according to camera global moving model, to make pixels mapping among adjacent frames and acquire corresponding positions of pixel points between the adjacent two frames. Then three-difference method can be used to get the foreground of segmentation. The proposed method improves the efficiency and performance for track and field sports match schedule system.

  • 出版日期2017-1
  • 单位包头师范学院