Image Processing System for Moving Object Association
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Solution Overview
Problem
Existing image processing systems struggle to accurately associate moving objects, such as vehicles, across multiple images due to variations in posture or lighting conditions, leading to wrongful recognition of the same vehicle as different.
Innovation Solution
An image processing system that includes an image acquisition unit, an image capturing direction information calculation unit, a feature amount calculation unit, and an associating unit. This system calculates image capturing direction information and feature amounts of moving object images and associates the moving objects based on these calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image comparison is performed without considering image capturing direction, then processing is simpler and faster, but association accuracy deteriorates due to posture and lighting variations
Solution Approach 1:
The system performs preliminary calculation of image capturing direction information before conducting image comparison. By pre-processing the direction data and using it to guide the association process, the system improves accuracy without substantially increasing overall processing complexity.
Solution Approach 2:
The system introduces image capturing direction information as an additional parameter for comparison. By incorporating this new parameter alongside traditional image feature comparison, the system achieves more accurate association while maintaining a manageable processing framework.
2Reliability
If multiple features are compared for association, then recognition accuracy improves, but false recognition due to lighting and posture changes increases
Solution Approach 1:
The system applies different comparison strategies based on local conditions. By analyzing image capturing direction information, the system can selectively weight or exclude certain features depending on whether lighting or posture variations are detected, thereby improving both reliability and precision.
Solution Approach 2:
Image capturing direction information serves as an intermediary that mediates between raw image features and final association decisions. This intermediary layer helps distinguish between genuine feature differences and artifacts caused by lighting or posture changes.
Data Source
AI summary
An image processing system includes an image acquisition unit that acquires a plurality of images including a moving object image, an image capturing direction data calculation unit that calculates image capturing direction data indicating an image capturing direction in which an imaging device captures an image of a moving object at a time when the images is captured, a feature amount calculation unit that calculates a feature amount of the moving object image extracted from the images, and an associating unit that associates the moving objects in the images with each other based on the image capturing direction data and the feature amount.