Intelligent tracking shooting system for long-distance high-speed moving target

Abstract

The invention discloses an intelligent tracking shooting system for a long-distance high-speed moving target, and belongs to the field of computer vision, computer control and television relaying. The system comprises an optical system, a stable platform system and a display control system. According to the invention, a panoramic camera is used as a visual sensor, an adaptive target detection tracking method is fused with a vehicle-mounted two-axis three-dimensional stable platform, and in the target tracking method, a global camera is combined to guide a close-up camera to track and shoot and close-up camera closed-loop detection dual mechanism, so that the tracking precision of the whole system is improved; the target is in the center of the video picture. When a plurality of paths of videos are output, the system evaluates and automatically switches the plurality of paths of video streams in real time through a real-time video stream intelligent switching method, and outputs stable video pictures in real time, so that stable following shooting and real-time editing of a high-speed moving target in a severe environment and a complex scene are realized; the good technical support can be provided for extension applications such as subsequent remote director, cloud reconstruction, personalized rebroadcasting and the like.

Description

technical field [0001] The invention relates to an intelligent tracking and shooting system for long-distance and high-speed moving targets, which belongs to the fields of computer vision, computer control and television relay. Background technique [0002] With the coming of the Winter Olympics, alpine skiing attracts a large number of skiing enthusiasts with its unique stimulation and challenge. At the same time, due to the characteristics of fast movement speed and many slewing movements, the terrain of the sports venue is complex. , The weather environment is changeable, the climate is harsh, and the ambient temperature usually falls below minus 20 degrees, which has caused great troubles for the work of event cameramen and broadcasters. In the traditional mode of manual shooting and broadcasting, the broadcasting service company needs to set up dozens of professional photography platforms on the steep snow track. At the same time, some photography and broadcasting staff...

AI Technical Summary

Problems solved by technology

[0002] With the coming of the Winter Olympics, alpine skiing attracts a large number of skiing enthusiasts with its unique stimulation and challenge. At the same time, due to the characteristics of fast movement speed and many slewing movements, the terrain of the sports venue is complex. , The weather environment is changeable, the climate is harsh, and the ambient temperature usually falls below minus 20 degrees, which has caused great troubles for the work of event photographers and broadcasters

In the traditional mode of manual shooting and broadcasting, the broadcasting service company needs to set up dozens of professional photography platforms on the steep snow track. At the same time, some photography and broadcasting staff need to enter the ski track for mobile shooting. In addition, the media center also needs to arrange a large number of staff Real-time receiving, editing, and streaming of the video signals returned by each camera position, the entire model has a huge organization, cumbersome operations, and difficult construction, requiring huge manpower and material resources

In recent years, with the rapid development of computer vision technology, the shooting system combined with target tracking technology has been widely used in the field of security monitoring. However, the environment and scenes of sports events are relatively complex, and the shooting system needs to be guaranteed without affecting the normal progress of the event. Real-time output of video with stable frame rate, high-definition picture, and proper viewing angle, which brings great challenges to existing computer vision technology

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