Virtual football match simulation system based on feature detection
Tianbo Yu, Xin Chen · 2024
The spectrum entropy theory of modern signal processing is introduced into the signal analysis of virtual football match simulation system. In this way, feature extraction is carried out for the image analysis of the competition system, and then the results of the competition and the athlete's state are predicted. A virtual football match simulation system is developed based on VC++ software development platform and MATLAB language. The cognitive model of virtual players based on scenario algorithm is constructed, and their domain knowledge is represented by scenario algorithm. By combining action plans to guide their behavior. The introduction of this method enhances the players' ability of attack and defense cooperation, and makes the whole team's performance of attack and defense significantly improved. Construct a stereo vision system based on three-dimensional space. The method of robot trajectory recognition is studied by using closed frame technique. According to the behavior characteristics of players in football match, the perceptual focalize is designed. The experimental results show that the model is feasible.