Camera Positioning via Image Recognition in GPS-Denied Environments
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Solution Overview
Problem
Existing methods for calculating positional relationships among cameras rely on GPS or base stations, which are ineffective in indoor or underground areas where satellite signals are unavailable, and require appropriate installations.
Innovation Solution
A data processing apparatus that calculates positional relationships among cameras by acquiring and analyzing captured images to detect and recognize other cameras, generating relative information on coordinates and capturing directions, and converting this information to a common coordinate system for aggregation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If GPS or base stations are used to determine camera positions in a global coordinate system, then positional relationships among cameras can be calculated, but the system becomes ineffective in indoor or underground areas where satellite signals are unavailable and requires appropriate installations
Solution Approach 1:
The patent introduces captured images as an intermediary medium to establish positional relationships. Instead of directly using GPS signals or base station communications, the system uses images captured by cameras themselves as mediators to infer relative positions. This allows the system to operate in environments where traditional positioning methods fail, as the images provide indirect information about spatial relationships among cameras
Solution Approach 2:
The patent creates a virtual copy of the physical camera positions through image analysis. By detecting cameras in captured images and calculating their relative positions based on image data, the system generates a virtual coordinate system that replicates the spatial relationships without requiring physical GPS receivers or base station infrastructure. This virtual positioning system can be established anywhere images can be captured and processed
2Adaptability or versatility
If image recognition processing is performed on captured images to detect cameras and calculate relative positions, then GPS and base stations become unnecessary, but the processing complexity and computational requirements increase
Solution Approach 1:
The patent segments the complex task of positional relationship determination into distinct processing stages: image acquisition, camera detection in images, coordinate calculation for detected cameras, and aggregation of relative position information. This segmentation allows each component to be optimized independently and processed in a systematic manner, reducing overall processing complexity while maintaining environmental adaptability
Solution Approach 2:
The patent performs image recognition processing selectively rather than continuously analyzing all image data. By focusing on detecting specific camera objects in captured images and calculating positions only for detected cameras, the system reduces computational overhead while still achieving the goal of establishing positional relationships among cameras in GPS-denied environments
Data Source
AI summary
A data processing apparatus acquires images captured by cameras. A data processing apparatus 2 calculates relative positional relationship between the camera that captured an image and a camera that is captured in the captured image, by image recognition of the captured image. The data processing apparatus 2 aggregates positional relationships calculated for the captured images, respectively, and by having one camera as reference, calculates the relative positions and directions of other cameras. Based on the calculated results, a user interface for supporting selection of the captured image by a user is generated.