Research on moving object tracking based on fuzzy clustering algorithm in sports video sequence

With the continuous improvement of people's health awareness, sports technology plays an important role in the national fitness and sports training. For example, the application of digital video technology, sports target tracking technology, tracking algorithm, computer processing technology and electronic technology in sports video effectively improves the efficiency and scientificity of sports training. Therefore, according to the characteristics of sports video, this paper uses fuzzy clustering algorithm to study the accuracy and efficiency of moving target tracking technology. The detection and tracking of moving objects in video sequences has always been a hot topic in the field of computer vision, and has been widely used in military and daily life such as precise weapon guidance, intelligent monitoring, human-computer interaction, intelligent robots and so on.