Construction of Real-time Analysis System of Sports Video Images Based on Fuzzy Clustering Algorithm

Abstract

The core of sports video analysis technology is the analysis of semantic events and their relationships, which is a complex and challenging problem. Its essence lies in the huge gap between the low-level features suitable for computer processing and the high-level semantics suitable for human understanding. The acquisition and analysis of moving images are the main means to acquire the kinematic parameters of objects in the research of sports biomechanics, which is to take pictures of human bodies or objects with cameras, digitize the videos and then analyze them. Due to the complexity and diversity of sports video content, the current sports video analysis results are not very satisfactory. The purpose of this paper is to establish the structure and index of sports video content by computer processing, analysis and understanding, which is of great theoretical significance and application prospect. Combining with fuzzy clustering algorithm, this paper studies the key technologies of sports video analysis, and puts forward the construction idea of sports video image real-time analysis system.