Research on intelligent analysis technology of football video based on computer vision

Abstract

In recent years, deep learning technology has been widely used in computer vision tasks, and has achieved great success in the fields of vision detection and tracking. On this basis, the landing of deep learning technology has become an urgent problem to be solved in the next step. Video target detection and tracking is an important direction in the field of computer vision. It combines the knowledge of image processing, mathematical analysis, probability density analysis and other fields, and is widely used in security, medical care, video surveillance, intelligent transportation and other fields. It realizes the intelligent analysis of the movement of external objects by using computers instead of human eyes, which provides great convenience for human life and work. Because of its unique charm, sports programs are widely welcomed by the public in today's society. Target detection and tracking in football game video is a very challenging task, and has good practical and commercial value. At present, the technology of target detection and target tracking has become more and more mature, but the complex environment, serious occlusion and multi-target tracking have become the main obstacles to the development of video moving target detection and tracking. These bottleneck problems make the application of computer vision in intelligent manufacturing unable to give full play to the best efficiency. Therefore, it needs to be systematically analyzed and solved.