Research on Multi-person Pose Estimation Technology in Sports Competition Video Based on Big Data Analysis

Abstract

The research of human pose estimation has changed from the early estimation methods of artificially selected features such as graph models and graph structure models to intelligent image recognition methods based on machine learning. In order to improve the effect of multi-person pose estimation in sports competition video, this paper combines big data technology and image recognition technology to study the multi-person pose estimation technology in sports games. Moreover, starting from the actual situation, this paper enhances the effect of human pose feature recognition in sports competitions, and constructs multi-person pose estimation system in sports competition video based on big data analysis. In addition, this paper combines big data technology to analyze sports competition video data, and uses image processing methods to extract features. The experimental research results show that the multi-person pose estimation system in sports competition video based on big data analysis can realize the feature recognition of multi-person sports.