Optimization Decision Tree Algorithm in Sports Video Tracking Technology
Fang Liu · 2022 International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS) · 2022
With the improvement of the level of sports competition, the requirements for sports training are also increasing. In the past, only relying on the coach's intuitive training method could not meet the needs of the stage sports training. However, the sports video tracking technology can extract the action features in the video, and according to the athlete's action features, it can help the coach to formulate reasonable training plan. The decision tree algorithm proposed in this paper is a typical C4.5 algorithm, and the genetic algorithm is used to optimize it. The unoptimized algorithm and the optimized algorithm are used to track the same sports video, and the performance of the two algorithms in processing video images is compared. Running time and tracking error, the C4.5 algorithm optimized by genetic algorithm has more advantages in video tracking.