Multi-Camera 3D Curling Stone Tracking for Live Sports Analytics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current broadcasting of curling events lacks video enhancement and tracking data, with no standard format for object movement in space over a timeline across multiple sports, limiting viewer engagement and coaching opportunities.
Innovation Solution
Deploy at least two tracking cameras with PTZ control to capture 2D video streams, create a 3D model of the curling rink, and generate 2D graphics with statistical data and analytics, using AI for advanced predictions and projections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple tracking cameras are deployed to capture 2D video streams for 3D modeling, then measurement precision of object movement is improved, but device complexity increases
Solution Approach 1:
The patent transforms 2D video streams from multiple cameras into a 3D model of the curling rink, adding the dimension of depth and spatial positioning. This allows accurate tracking of object movement in three-dimensional space while maintaining the simplicity of 2D camera captures, resolving the contradiction between measurement precision and device complexity.
Solution Approach 2:
The patent introduces a server processor as an intermediary that receives 2D video streams from multiple cameras, matches them across time, and creates a synchronized 3D model. This intermediary component handles the complexity of multi-camera coordination and spatial reconstruction, allowing the camera system itself to remain relatively simple while achieving high measurement precision.
2Reliability
If video streams are matched and 3D model is created from multiple camera feeds, then reliability of tracking data is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by capturing video streams at multiple time points and storing them for later matching. The system pre-processes the video feeds to identify and mark objects of interest, then uses this pre-identified information to rapidly match streams and create the 3D model, reducing real-time processing requirements while maintaining high reliability.
Solution Approach 2:
The patent maintains continuous tracking of objects across multiple video streams and time points, ensuring that the 3D model is built from consistent, uninterrupted data. This continuous approach ensures reliability by eliminating gaps in tracking while the efficient matching algorithm minimizes processing time delays.
3Quantity of substance
If 2D graphics with statistical data and analytics are generated from 3D model, then quantity of information provided to viewers is improved, but device complexity increases
Solution Approach 1:
The patent segments the complex 3D model data into distinct 2D graphics representations that can be independently processed and displayed. By breaking down the comprehensive tracking data into separate visual elements (paths, positions, statistical overlays), the system can present large quantities of information without requiring complex real-time rendering, thus reducing graphics processing complexity.
Solution Approach 2:
The patent creates 2D graphics copies from the 3D model data, presenting simplified visual representations that convey statistical information and movement trajectories. These 2D copies are easier to process and display than full 3D rendering, allowing the system to provide extensive information output while maintaining manageable graphics processing complexity.
Data Source
AI summary
Systems and methods for video presentation and analytics for live sporting events are disclosed. At least two cameras are used for tracking objects during a live sporting event and generate video feeds to a server processor. The server processor is operable to match the video feeds and create a 3D model of the world based on the video feeds from the at least two cameras. 2D graphics are created from different perspectives based on the 3D model. Statistical data and analytical data related to object movement are produced and displayed on the 2D graphics. The present invention also provides a standard file format for object movement in space over a timeline across multiple sports.


