Method for acquiring and analysing a scene by image difference
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Solution Overview
Problem
Existing methods for acquiring differential images are hindered by noise from ambient light and artifacts caused by scene displacement, which degrade the quality of the extracted useful signal.
Innovation Solution
A method involving synchronized acquisition of images with and without excitation light, followed by registration and integration steps to compensate for scene displacement, and including denoising and compression to reduce noise and improve signal extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing is performed on full HD or 4K surveillance footage, then detection precision is improved, but computing resources and processing time are excessively consumed
Solution Approach 1:
The patent segments the image processing task by dividing the full HD or 4K surveillance footage into multiple lower-resolution sub-images. Each sub-image is processed independently for change detection, and then the results are synthesized to produce the final detection output. This segmentation approach maintains detection precision while significantly reducing the computational burden and processing time associated with processing complete high-resolution images.
Solution Approach 2:
The patent applies partial action by performing change detection only on specific regions or portions of the image rather than analyzing every pixel in the full HD or 4K footage. By focusing computational resources on detecting changes in key areas and using lower-resolution processing for routine monitoring, the system achieves effective surveillance while optimizing the balance between detection precision and processing efficiency.
2Area of stationary object
If multiple cameras are deployed to cover large areas, then surveillance coverage is improved, but system complexity and data processing load increase
Solution Approach 1:
The patent merges data from multiple cameras by processing images from different camera sources through a unified change detection algorithm. The system combines the segmented and processed data from multiple camera feeds, synthesizing the results to provide comprehensive surveillance coverage of large areas while managing system complexity through standardized processing procedures and centralized coordination.
Data Source
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AI summary
Disclosed is a method (100) for acquiring and analysing a scene (4) by image difference, the method (100) comprising the steps of acquiring (101) a first image of the scene (4), the first image being formed by ambient light reflected or scattered by the scene; excitation (102) of the scene by an excitation source (1), the excitation (102) triggering an emission of light from at least part of the scene, during an emission time period; acquiring (103) a second image of the scene, the acquiring (103) of the second image being synchronised with the excitation (102) so that the acquisition of the second image is carried out during the emission time, the second image being formed by the emission of light from the scene added to the reflected or scattered ambient light; calculating a second image (104) adjusted with respect to the first image in order to compensate a relative movement of the scene with respect to the sensor (2), calculating (105) a differential image, the differential image being a difference between the first image and the second, adjusted image.