Dynamic Tracking Point Re-disposition for Cell Shape Change
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Solution Overview
Problem
Existing technologies struggle to accurately track changes in the shape of cells over time, especially when the cell's shape changes significantly in a short period, as they often fail to account for changes in regions without initially disposed tracking points.
Innovation Solution
An information processing device that disposes tracking points within a first image region corresponding to an observation target, estimates their positions in a subsequent image, and re-disposes the tracking points based on these estimates, with the frame interval between images adjusted according to the speed of shape change observed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tracking points are disposed once on a biological tissue and merely tracked, then the technology works well for organs with stable shapes, but it fails to track shape changes in cells that change significantly in a short period
Solution Approach 1:
The patent applies dynamics by making the tracking point disposition dynamic rather than static. Tracking points are re-disposed in each frame based on the current shape of the observation target, allowing the system to adapt to shape changes in cells while maintaining tracking accuracy. This resolves the contradiction by enabling the same tracking methodology to work for both stable organs and changing cells.
Solution Approach 2:
The patent uses preliminary action by estimating the positions of tracking points in the current frame based on their positions in the previous frame before actually re-disposing them. This prediction step allows the system to prepare for shape changes and maintain accurate tracking even when the observation target undergoes significant transformation.
2Productivity
If the frame interval is too long, then processing speed increases, but tracking accuracy decreases for rapidly changing cell shapes
Solution Approach 1:
The patent applies periodic action by re-disposing tracking points at regular frame intervals. This periodic re-disposition ensures that tracking accuracy is maintained for rapidly changing cell shapes while still processing images at a sustainable rate. The system balances processing speed and accuracy by systematically updating tracking points in each frame.
Solution Approach 2:
The patent uses feedback by continuously comparing the current shape of the observation target with the tracked shape and adjusting tracking point positions accordingly. This feedback mechanism allows the system to maintain high tracking accuracy even with relatively long frame intervals, as the system constantly corrects based on the latest observed shape information.
3Measurement precision
If tracking points are re-disposed in every frame, then shape tracking accuracy improves, but computational complexity increases
Solution Approach 1:
The patent reduces computational complexity by performing preliminary estimation of tracking point positions before actual re-disposition. By predicting where tracking points should be based on previous frame information, the system avoids complex real-time calculations while maintaining high tracking accuracy. This preliminary action simplifies the computational burden of frame-by-frame processing.
Solution Approach 2:
The patent uses copying by creating an estimated copy of tracking point positions from the previous frame and using this copy as the basis for re-disposition. Instead of calculating entirely new positions, the system copies and adjusts previous positions, significantly reducing computational complexity while maintaining tracking precision.
Data Source
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AI summary
According to some aspects, an information processing device is provided. The information processing device includes circuitry configured to dispose a plurality of tracking points within a first region of a first image and set a second region of a second image based on estimated positions of the plurality of tracking points in the second image. The estimated positions are determined by comparing the first image and the second image. The circuitry is further configured to re-dispose the plurality of tracking points within the second region of the second image.