Motion Detection Using Scene Luminance Normalization
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Solution Overview
Problem
Existing motion detection methods in video surveillance are prone to incorrect judgments due to changes in luminance levels across regions, leading to inaccurate detection of motion objects.
Innovation Solution
A method that integrates pixel motion detection values with scene luminance values, using exposure parameters like shutter speed, gain, and iris values, to normalize differences and determine the presence of motion regions before demosaicing processing, thereby reducing the impact of overall luminance changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic adjustment function of the image signal processor is used to handle luminance changes, then the image processing capability is improved, but the motion detection accuracy deteriorates due to incorrect judgment caused by luminance-induced pixel value changes
Solution Approach 1:
The patent segments the motion detection process into two independent parts: pixel-level motion detection (comparing current frame pixel values with background pixel values) and scene-level luminance detection (comparing current frame scene luminance with historical scene luminance). By separating these functions, the system can detect pixel changes without being influenced by automatic luminance adjustment, thus resolving the contradiction between image processing capability and motion detection accuracy.
Solution Approach 2:
The patent introduces scene luminance values as an intermediary element to mediate between the image signal processor's automatic adjustment function and the motion detection apparatus. The scene luminance serves as a reference that decouples the motion detection from the luminance adjustment effects, allowing the system to distinguish between pixel value changes caused by luminance adjustment versus those caused by actual motion.
2Device complexity
If motion detection is performed based on pixel value changes after image signal processing, then the detection process is simplified, but the detection reliability deteriorates due to false motion detection caused by luminance changes
Solution Approach 1:
The patent merges pixel-level motion detection and scene-level luminance detection into an integrated motion detection system. The pixel motion detection value and scene luminance motion detection value are combined through integration to produce a comprehensive motion detection result. This merging approach maintains the simplicity of pixel-based detection while adding luminance-based verification, thereby improving detection reliability without significantly increasing system complexity.
3Measurement precision
If integrated motion detection using both pixel values and scene luminance values is implemented, then the motion detection accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent implements partial integration of motion detection methods by selectively combining pixel-level detection and scene-level luminance detection only when necessary. The system calculates pixel motion detection values for all pixels and scene luminance motion detection values for the overall scene, then integrates these results. This partial action approach improves accuracy by focusing computational resources on the most relevant detection levels rather than processing all possible data comprehensively.
Data Source
AI summary
A method for motion detection includes: obtaining a pixel value of an image to be detected in a video image sequence, a pixel average value of same positions in a preset number of frame images before the image to be detected, and scene luminance values of the preset number of frame images before the image to be detected; obtaining a pixel scene luminance value and an average scene luminance value by calculation according to the pixel value and the scene luminance values; obtaining P1 according to the pixel value and the pixel average value, and obtaining P2 according to the pixel scene luminance value and the average scene luminance value; and obtaining P3 by integrating the P1 and P2, and detecting, according to the P3, whether the image to be detected includes a motion image region.