Modern Dance Virtual Person Tracking Technology Based on AdaBoost Algorithm

With the development of science and technology, more and more high-tech technologies are applied to the tracking system of dance virtual human. The remote dynamic interaction detection method designed based on AdaBoost algorithm is widely used in real life. This paper mainly designs the remote dynamic interaction, dynamic monitoring and auxiliary functions based on AdaBoost algorithm (image processing and matching algorithm). Firstly, digital coding and compression are widely used in video transmission. Secondly, it makes a brief theoretical analysis of AdaBoost and its related mathematical models, and then establishes a virtual human tracking system using MATLAB software, and gives the corresponding experimental results. The final experimental results show that the detection accuracy of the virtual person tracking technology is more than 90%, and the false detection rate is low.