CCTV Video Point Mapping via Coordinate Transformation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional video surveillance systems using CCTV cameras struggle to accurately map specific points in video footage to corresponding locations on a map due to the lack of geomagnetic sensors, making it difficult to determine the camera's orientation and accurately respond to urgent situations within the large areas covered.
Innovation Solution
A method involving coordinate transformation between pixel coordinates on the camera's canvas plane and global physical space coordinates, which initializes camera orientation using feature points, identifies targets, and estimates GIS information by calculating displacements in the map, allowing for precise mapping of video surveillance areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If only the location of the camera is marked on the map, then the system is simple to operate, but it is difficult to effectively respond to urgent situations in large coverage areas
Solution Approach 1:
The patent segments the camera's field of view into a grid of points, each with calculated real-world coordinates. This allows the system to provide detailed location information for any specific point in the video frame while maintaining the simplicity of marking only the camera's base location on the map. The segmentation transforms a single undifferentiated camera location into multiple actionable point locations.
Solution Approach 2:
The patent introduces an intermediary coordinate transformation system that maps between video frame coordinates and real-world geographic coordinates. This intermediary layer (the calculation unit that computes real-world coordinates based on camera parameters and video frame position) enables the system to provide precise location information without requiring complex manual marking or additional sensors on the camera.
2Device complexity
If the camera does not have a geomagnetic sensor, then the device complexity is reduced, but the camera cannot determine its orientation and pointing direction
Solution Approach 1:
The patent performs preliminary action by pre-calculating and storing the relationship between video frame coordinates and real-world coordinates during system setup. The camera's orientation and field of view parameters are established in advance, creating a coordinate mapping model that enables real-time location determination without requiring the camera to actively sense or calculate its orientation during operation. This preliminary setup eliminates the need for geomagnetic sensors while preserving orientation information.
Solution Approach 2:
The patent replaces the mechanical/physical sensing approach (geomagnetic sensor) with a computational/mathematical approach (coordinate transformation). Instead of using a physical sensor to detect magnetic field orientation, the system uses mathematical calculations based on known camera parameters (field of view, mounting position, orientation angles) to determine the real-world coordinates of points in the video frame. This substitution eliminates the need for additional hardware while achieving the same functional goal.
Data Source
AI summary
The present invention generally relates to a technology of accurately mapping a specific point in CCTV video onto the corresponding point on a map. More specifically, the present invention relates to a technology of mapping a specific point in CCTV video onto the corresponding point on a map through coordinate transformation between pixel coordinate of canvas plane of the CCTV camera and global coordinate of physical space for the video surveillance system. The present invention may provide an advantage of improving the efficiency of video surveillance system. When an urgent situation is found in CCTV video, the location in which the urgent situation is occurring may be accurately specified, which renders an effective action possible.