Robotic Camera Control via AI Region Detection
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Solution Overview
Problem
Current robotic camera systems in live broadcast productions face limitations such as poor zooming capabilities due to single image sensors covering large areas, high operational costs with multiple cameras, and fixed camera positions, which result in suboptimal image resolution and perspective issues.
Innovation Solution
A method for controlling a robotic camera that automatically determines an image region of interest on a playing field, associating it with physical regions, and generating control parameters to capture the desired area, allowing for dynamic adjustment and user intervention, while considering game rules and acoustic signals, to provide high-quality, flexible camera views.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a single camera covers a complete scene, then the camera can capture the entire playing field, but the image resolution becomes problematic when zooming in
Solution Approach 1:
The patent applies the dynamics principle by making the camera position and view angle variable rather than fixed. The robotic camera can dynamically adjust its position and zoom level to capture different regions of interest on the playing field, allowing the system to switch between wide-area coverage and high-resolution close-ups as needed, thus resolving the contradiction between field coverage area and image resolution
Solution Approach 2:
The patent changes the parameters of the camera system, specifically the position and view angle parameters, to optimize both field coverage and image resolution. By varying these parameters, the system can capture the entire playing field when needed and zoom in on specific areas for high-resolution imaging, eliminating the resolution degradation problem of fixed single-camera systems
2Measurement precision
If multiple cameras are used to cover the scene, then the image resolution improves, but the operational cost increases
Solution Approach 1:
The patent applies the universality principle by making a single robotic camera perform multiple functions that would traditionally require multiple fixed cameras. The robotic camera can switch between capturing wide-area views and zoomed-in close-ups, and can be positioned to capture different perspectives, thereby replacing the need for multiple specialized cameras and reducing operational costs
Solution Approach 2:
The robotic camera's ability to dynamically reposition and adjust zoom levels allows one camera to perform the functions of multiple fixed cameras. This dynamic capability enables the system to capture diverse scenes and perspectives without requiring a large fixed camera array, thus reducing device complexity and operational expenses
3Ease of manufacture
If the camera is located at a fixed position, then the installation is simple, but the perspective view is limited
Solution Approach 1:
The patent transforms the fixed camera position into a dynamic, movable position using a robotic system. This allows the camera to adapt its location and viewing angle to capture various perspectives of the playing field, maintaining installation simplicity while dramatically improving perspective flexibility and adaptability to different shooting requirements
4Device complexity
If automatic broadcasting with robotic cameras is used, then the operational cost decreases, but the broadcast quality is insufficient
Solution Approach 1:
The patent implements feedback mechanisms that allow the robotic camera system to learn from and adapt to broadcast requirements. By analyzing successful broadcasts and adjusting its behavior accordingly, the system improves broadcast quality over time while maintaining the cost advantages of automatic operation, bridging the gap between automated operation and professional broadcast standards
Data Source
AI summary
A method for controlling a robotic camera capturing a portion of a playing field is suggested. An image region of interest is determined in a reference image of the playing field. The image region of interest is determined by artificial intelligence. The image region of interest is associated with a physical region of interest on the playing field. From the physical region of interest control parameters for the robotic camera are deducted such that the robotic camera captures the physical region of interest on the playing field. As a result it is achieved that the robotic camera automatically captures the most interesting scene on the playing field. Furthermore, a camera system is suggested that implements the method.