Research on Human Activity Recognition Algorithm Based on Metric Learning

In the context of the rapid development of computer technology, people's lives have been inseparable from high-tech technology, which can bring convenience to people. In the field of computer vision, human activity recognition is a very hot topic, basketball technology recognition, intelligent monitoring, intelligent security systems, etc. all need to use human activity recognition. Traditional recognition methods cannot solve the problem of accurate recognition of human activities in computer vision. Therefore, this paper proposes a measure learning for human activity recognition analysis. In the intelligent era, Human Activity Recognition (HAR) technology is like a beautiful landscape, spanning many research fields such as computer vision, pattern recognition and machine learning. With its unique charm, it attracts countless researchers to dig deep.