System Design of Sports Video Based on Improved SSA-LSSVM Model

The sports video analysis system is an important technical means that can help coaches and athletes better understand the competition situation and personal performance, thereby improving training effectiveness and competitive level. The SSA-LSSVM model is a support vector machine-based algorithm that can improve the accuracy of classification and prediction by decomposing and dimensionality reducing data. This article proposed a sports video analysis system based on an improved SSA-LSSVM model, aiming to improve the detection ability and training level of athletes’ movements. This paper mainly used the experimental method and the comparative law method to describe different models and motion video analysis capabilities. The data results showed that the mean squared error of SSA-LSSVM model was 37.1.