Upgrade and Optimization of Motion Tracking Technology Based on Genetic Algorithm
Gaosheng Li · Procedia Computer Science · 2024
This article addressed the issue of instability in motion tracking systems in sports applications, and put forward an improved algorithm to further improve the stability of the systems. The artcile proposed an improved algorithm based on genetic algorithm that can be used to search for the best solution in the tracking parameter space by means of a number of mechanisms such as global search, adaptive adjustment, and diversity maintenance, and adjust various parameters in accordance with different tracking scenarios. According to the experimental results, the tracking speed of the genetic algorithm proposed in this paper can reach 90-120 FPS, and the motion tracking technology improved and optimized based on genetic algorithm obtained a favorable effect in tracking stability improvements.