Camera Pose Estimation from Moving Object Map Matching
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Solution Overview
Problem
Manually determining the location of multiple cameras installed in a facility is time-consuming and labor-intensive, and relying on design drawings can result in low accuracy.
Innovation Solution
A camera location estimation apparatus that uses a moving object to acquire map information, detect its location, and match it with camera images to automatically estimate the camera's location and angle within the facility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual checking and registration of camera locations is performed, then the location information can be obtained, but the process requires a lot of manpower and time
Solution Approach 1:
The patent replaces the manual mechanical process of checking and registering camera locations with an automated image processing system. The system uses images captured by the cameras themselves to automatically detect and determine camera locations, eliminating the need for manual field surveys and data entry while maintaining high accuracy through computational analysis of image features and geometric relationships
Solution Approach 2:
The system enables cameras to automatically contribute to their own location determination by capturing images that are processed to extract location information. The cameras serve dual purposes: both capturing surveillance images and providing the data needed for their own location registration, thereby eliminating the need for separate manual location checking processes
2Measurement precision
If manual checking and registration of camera locations is performed, then the location information can be obtained, but the process is labor-intensive
Solution Approach 1:
The patent replaces the manual mechanical process of checking and registering camera locations with an automated image processing system. The system uses images captured by the cameras themselves to automatically detect and determine camera locations, eliminating the need for manual field surveys and data entry while maintaining high accuracy through computational analysis of image features and geometric relationships
Solution Approach 2:
The system enables cameras to automatically contribute to their own location determination by capturing images that are processed to extract location information. The cameras serve dual purposes: both capturing surveillance images and providing the data needed for their own location registration, thereby eliminating the need for separate manual location checking processes
3Ease of operation
If design drawings are used to determine camera locations, then the process is simple, but the accuracy is low
Solution Approach 1:
The patent replaces reliance on design drawings with an automated image processing system that calculates camera locations based on actual captured images. The system uses geometric relationships and feature matching in images to determine precise camera positions, eliminating the inaccuracies inherent in manual transcription from design drawings while maintaining operational simplicity through automation
Solution Approach 2:
The system enables cameras to automatically contribute to their own location determination by capturing images that are processed to extract location information. The cameras serve dual purposes: both capturing surveillance images and providing the data needed for their own location registration, thereby eliminating the need for separate manual location checking processes
Data Source
AI summary
According to one embodiment, a camera location estimation apparatus including a processor included to acquire map information indicating a map of a facility, acquire first locations of a moving object on the map indicated by the map information in response to movements of the moving object moving within the facility, acquire a plurality of images containing the moving object, the plurality of images being captured by a camera, and estimate a location of the camera on the map indicated by the map information so that each of the first locations of the moving object and a second location of the moving object on an image containing the moving object located at the first location among the plurality of images match with each other.


