Image Processing Program for Time-Series Difference Analysis
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Solution Overview
Problem
Analyzing extended periods of moving images captured by security cameras is time-consuming and burdensome, as it requires checking the entire recording time to find places with changes, which is inefficient and labor-intensive.
Innovation Solution
An image processing program that derives difference values based on pixel value changes between adjacent images and displays a time-series difference image, allowing users to focus on areas with significant changes, reducing the need to review the entire recording time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire moving image is checked to find places where changes have occurred, then the analysis is thorough and complete, but the checking time and workload increase considerably
Solution Approach 1:
The patent divides the moving image analysis into segments by calculating difference values between adjacent images and displaying them as a time-series difference image. This segmentation allows the analyst to focus only on segments with large difference values (indicating changes) rather than reviewing the entire moving image sequentially, thus reducing checking time while maintaining analysis completeness.
Solution Approach 2:
The patent extracts the essential information needed for change detection by calculating difference values between adjacent images and displaying only these difference values in a time-series format. This extraction process removes unnecessary visual data from the original moving images, allowing rapid identification of change points without reviewing the full video content.
2Reliability
If the entire moving image is reviewed to identify changes, then no changes are missed, but the burden on the checker increases significantly
Solution Approach 1:
By segmenting the moving image analysis into difference value calculations between adjacent frames and displaying these as a time-series graph, the patent enables checkers to quickly identify segments with large differences (potential changes) without manually reviewing every frame. This maintains reliability by ensuring all changes are captured through systematic difference calculation while dramatically reducing the manual checking burden.
Solution Approach 2:
The patent introduces an intermediary processing step that calculates difference values between adjacent images and presents this processed information in a time-series difference image. This intermediary representation serves as a mediator between the raw moving images and the checker, transforming complex visual analysis into a simplified task of identifying peaks or anomalies in the difference value graph, thereby reducing workload while maintaining reliable change detection.
3Productivity
If difference values between adjacent images are calculated and displayed as a time-series difference image, then places with large changes are easily spotted, but additional processing steps are required
Solution Approach 1:
The patent replaces the mechanical process of manual moving image review with an automated image processing system that calculates difference values between adjacent images and generates a time-series difference image. This substitution of manual mechanical checking with automated computational processing increases productivity by enabling rapid analysis of extended recordings while the standardized processing algorithm keeps the added complexity manageable.
Data Source
AI summary
A recording medium storing an image processing program according to one aspect of the present invention is a non-transitory computer-readable medium storing an image processing program to make a computer execute image processing on an image group on one timeline, the image processing program making the computer execute deriving a difference value that is based on a difference between pixel values of images that are adjacent in time series in the image group, and displaying a time-series difference image showing a time-series change in the difference value.