Surveillance Camera Calibration via Geospatial Coordinate Transformation
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Solution Overview
Problem
Surveillance systems with manually controlled cameras are inefficient in tracking moving objects, especially when the camera is not accurately mounted or aligned, and image analysis methods fail to track objects outside the camera's field of view.
Innovation Solution
A method that calibrates surveillance systems by converting geospatial coordinates from a map into camera-specific pan, zoom, and tilt coordinates, allowing for automated camera control and tracking of targets using mathematical rotations between coordinate systems, enabling efficient object tracking and prioritization of camera feeds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual control is used to adjust camera field of view, then the user can observe areas of interest, but the system efficiency decreases and response time increases when tracking moving objects
Solution Approach 1:
The system enables self-service by implementing automated camera control that tracks moving objects independently. The camera system uses image analysis to detect and follow moving objects automatically, eliminating the need for continuous manual intervention while maintaining effective surveillance and tracking capabilities.
2Productivity
If image analysis is used to automatically control the camera, then tracking efficiency improves, but the system cannot detect objects outside the current field of view
Solution Approach 1:
The system transitions from two-dimensional manual pan-tilt control to three-dimensional geospatial coordinate-based control. By incorporating altitude/ elevation dimension and using geospatial coordinates (latitude, longitude, altitude) instead of traditional pan-tilt-zoom parameters, the system can accurately point cameras at distant or elevated targets that were previously inaccessible, thereby expanding field of view coverage while maintaining automated tracking efficiency.
3Ease of manufacture
If the camera is not accurately mounted or aligned, then installation flexibility increases, but the coordinate system calibration becomes complex and tracking accuracy decreases
Solution Approach 1:
The system changes the control parameters from traditional pan-tilt-zoom coordinates to geospatial coordinates (latitude, longitude, altitude). This parameter transformation allows the system to accommodate various camera mounting orientations and positions without requiring precise alignment. The geospatial coordinate system inherently handles different installation configurations, maintaining tracking accuracy while providing installation flexibility.
4Area of stationary object
If multiple cameras are used to survey areas, then coverage area increases, but the complexity of coordinating and prioritizing camera feeds increases
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor moving object positions and automatically prioritize and coordinate multiple camera feeds. Based on real-time object location data, the system determines which camera should track which object, optimizing the use of multiple cameras without requiring complex manual coordination. This feedback-driven approach simplifies multi-camera management while maintaining comprehensive surveillance coverage.
Data Source
AI summary
A method and a system for calibrating a camera in a surveillance system. The method and system use a mathematical rotation between a first coordinate system and a second coordinate system in order to calibrate a camera with a map of an area. In some embodiments, the calibration can be used to control the camera and/or to display a view cone on the map.