GIS-Based Camera FOV Mapping for Movable Video Surveillance
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Solution Overview
Problem
Modern video surveillance systems face challenges in handling video streams from movable cameras and managing the growing volume of data, particularly in ensuring accurate field-of-view (FOV) determination and efficient search and retrieval of relevant video streams.
Innovation Solution
A video management system (VMS) that receives and stores metadata streams associated with video streams, determines adjusted FOV based on GIS and FOV data, and provides a graphical user interface (GUI) for dynamic geo-map updates, enabling time synchronization and efficient search and retrieval of video streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If video surveillance systems use movable cameras to increase coverage area, then the surveillance area expands, but determining accurate field-of-view (FOV) becomes more difficult
Solution Approach 1:
The patent introduces GIS data as an intermediary layer between the movable camera and the FOV determination process. By overlaying camera position, orientation, and lens parameters onto geographic information system data, the system calculates adjusted FOV that accounts for physical obstructions in the environment, thereby resolving the difficulty of accurate FOV measurement for movable cameras
Solution Approach 2:
The patent transitions from two-dimensional camera FOV calculation to three-dimensional spatial analysis by integrating GIS data that includes geographic coordinates, elevation, and physical obstruction information. This dimensional expansion enables accurate FOV determination for movable cameras by considering the vertical and horizontal dimensions of environmental obstructions
2Reliability
If video surveillance systems use a large number of devices to increase data collection capability, then the monitoring capability improves, but the amount of data to be managed increases
Solution Approach 1:
The patent extracts and separates metadata (including FOV information, camera parameters, and GIS data) from the full video streams. By storing and processing only the essential metadata rather than complete video data, the system maintains reliable monitoring capability across multiple devices while significantly reducing the volume of data that requires management and processing
Solution Approach 2:
The patent segments video surveillance data into distinct components: video streams, metadata streams, FOV data, and GIS data. This segmentation allows the system to handle each type of data independently and efficiently, enabling scalable deployment of multiple monitoring devices without proportionally increasing management complexity
3Reliability
If video surveillance systems process video streams from multiple cameras to improve coverage, then the surveillance effectiveness increases, but the system complexity increases
Solution Approach 1:
The patent creates a universal VMS platform that handles multiple camera types (movable and stationary) using a common architecture. The system processes video streams, metadata, and GIS data through unified algorithms for FOV calculation and adjusted FOV determination, enabling the system to scale from single-camera to multi-camera deployments without proportionally increasing complexity
Data Source
AI summary
The present disclosure generally relates to video surveillance systems and optionally computer-implemented video management methods for video surveillance systems. A video management system may be configured to dynamically calculate the Field-of-View (FOV) of a video camera using Geographic Information System (GIS) data.