Luminance Correction for Background Difference Object Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing systems struggle to detect objects in a background difference type when the exposure conditions of a camera change, such as in cases where the illumination varies or the camera moves.
Innovation Solution
The proposed image processing system includes a luminance correction unit that adjusts the luminance values of images based on exposure conditions, allowing for accurate object detection in background difference type even when exposure conditions change.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If background difference processing is used for object detection, then processing load is small and extraction stability is excellent, but when illumination condition changes, the processing cannot be performed accurately
Solution Approach 1:
The patent applies parameter changes by introducing exposure condition parameters (exposure time, gain) to characterize and correct illumination variations. By modeling the illumination change as a parameter transformation and applying inverse correction, the system maintains background difference processing accuracy under varying illumination conditions while preserving its computational efficiency.
2Reliability
If template matching processing is used to compensate for illumination variation, then detection can be performed under illumination change, but processing load increases
Solution Approach 1:
The patent extracts only the essential illumination variation component from the complex template matching process. By isolating the exposure condition parameters (exposure time and gain) as the primary sources of illumination change and correcting only for these factors, the system achieves illumination compensation with significantly reduced computational load compared to full template matching.
3Reliability
If illumination compensation is performed in background difference processing, then detection accuracy improves, but regions other than moving object are incorrectly extracted
Solution Approach 1:
The patent introduces exposure condition parameters as an intermediary between the input image and the background difference calculation. By using these parameters to predict and correct illumination variations before difference computation, the system achieves accurate compensation without introducing false differences in static regions, thus maintaining both detection accuracy and extraction precision.
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
Provided are an image processing system and a camera system capable of appropriately detecting an object in a background difference type even when an exposure condition of a camera changes. The camera system includes an image processing system 100. The image processing system 100 includes an original image acquisition unit 101 that acquires a first original image and a second original image, a luminance correction unit 104 that acquires a luminance-corrected image by correcting a luminance value of the second original image such that a difference from a luminance value of the first original image decreases in accordance with an exposure condition related to each of the original images, and a background difference type object detection unit 105 that detects an object by acquiring a background difference based on the luminance-corrected image.