Annotated Point Coordinate Update via Camera Homography
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Surveillance cameras experience issues with camera movement due to factors like vibration, position drift, orientation shifts, temperature changes, and mechanical aging, which affect the accuracy of annotated points used to define regions of interest and virtual trip wires, requiring an efficient method to update these coordinates automatically.
Innovation Solution
An image processing device and method that compares position indicative information in current and previous digital images to identify camera movement, using a camera homography to update the coordinates of annotated points, enabling automatic recalibration and maintaining the accuracy of regions of interest and virtual trip wires.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If annotated points are manually set in surveillance images, then the initial accuracy of region definitions is improved, but the system becomes unreliable when camera movement occurs due to vibration, drift, or environmental changes
Solution Approach 1:
The system continuously compares position indicative information from current and previous images to detect camera movement, then uses this feedback to automatically update annotated point coordinates through homography transformation, maintaining accuracy despite camera drift or vibration
Solution Approach 2:
The system performs self-calibration by automatically detecting its own movement through image comparison and correcting its coordinate system using homography, eliminating the need for manual relabeling when cameras are replaced or moved
2Measurement precision
If camera movement compensation is implemented through manual relabeling, then coordinate accuracy can be restored, but the productivity and operational efficiency significantly decrease
Solution Approach 1:
The system replaces manual mechanical relabeling operations with automated computational image processing, using algorithmic homography transformation to correct coordinates based on detected camera movement, thereby maintaining accuracy while eliminating time-consuming manual intervention
Solution Approach 2:
The system continuously performs preliminary detection of camera movement by comparing position indicative information between frames, preparing correction data in advance so that coordinate updates can be applied automatically without interrupting surveillance operations
3Device complexity
If the surveillance system uses fixed annotated points, then the device complexity is minimized, but the adaptability to camera movement and environmental changes is reduced
Solution Approach 1:
The system transitions from static fixed coordinates to dynamic adaptive coordinates that automatically adjust based on detected camera movement, using homography transformation to maintain coordinate accuracy while keeping the overall system structure relatively simple
Solution Approach 2:
The homography-based coordinate update mechanism serves multiple functions: it compensates for camera drift, corrects for vibration, adapts to FOV orientation shifts, and works with different types of position indicative information, providing universal adaptability across various camera movement scenarios
Data Source
AI summary
A method for updating a coordinate of an annotated point in a digital image due to camera movement is performed by an image processing device, which obtains a current digital image of a scene. The current digital image has been captured by a camera subsequent to movement of the camera relative the scene. The current digital image is associated with at least one annotated point. Each at least one annotated point has a respective coordinate in the current digital image. The method comprises identifying an amount of the movement by comparing position indicative information in the current digital image to position indicative information in a previous digital image of the scene. The previous digital image has been captured prior to movement of the camera. The method comprises updating the coordinate of each at least one annotated point in accordance with the identified amount of movement and a camera homography.