Template Selector for Marker Tracking in Medical Systems
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Solution Overview
Problem
Existing information processing systems face challenges in improving tracking accuracy and reducing calculation load when dealing with a large number of templates for object detection, particularly in medical treatment systems where precise tracking of markers is crucial.
Innovation Solution
An information processing apparatus that includes a template selector and a tracker, which narrows down the number of templates based on user input and image analysis, using a selection template to track the marker's position efficiently, thereby reducing the calculation load and enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of templates is increased to improve tracking accuracy, then tracking accuracy is improved, but calculation load is increased
Solution Approach 1:
The patent segments the template selection process into two stages: first, a small number of candidate templates are selected based on image analysis and user input; second, tracking is performed using only these selected templates. This segmentation allows the system to maintain high tracking accuracy while significantly reducing calculation load compared to using all possible templates.
Solution Approach 2:
The patent extracts only the most relevant templates from a larger set of candidate templates based on image analysis and user input. By taking out only the necessary templates for the current tracking task, the system achieves high tracking accuracy without the computational burden of processing all available templates.
2Measurement precision
If the number of templates is increased to improve tracking accuracy, then tracking accuracy is improved, but device complexity is increased
Solution Approach 1:
The system segments template management into template selection (based on image analysis and user input) and template execution (tracking with selected templates). This segmentation simplifies the overall system by avoiding the need to manage and process large numbers of templates simultaneously, reducing device complexity while maintaining tracking accuracy.
Solution Approach 2:
The system performs self-service by automatically selecting relevant templates through image analysis and user input, eliminating the need for manual configuration of all templates. This self-service mechanism reduces system complexity by dynamically determining which templates to use based on current conditions.
3Power
If the number of templates is reduced to lower calculation load, then calculation load is reduced, but tracking accuracy deteriorates
Solution Approach 1:
The patent changes the parameter of template selection from static (using all templates or a fixed small set) to dynamic (selecting templates based on image analysis and user input). This parameter change allows the system to use a small number of templates while maintaining high tracking accuracy by selecting the most relevant templates for each tracking scenario.
Solution Approach 2:
The system performs preliminary action by pre-selecting relevant templates based on image analysis and user input before tracking begins. This preliminary selection ensures that the most appropriate templates are chosen in advance, allowing accurate tracking with a reduced number of templates and thus lowering calculation load.
Data Source
AI summary
According to one embodiment, an information processing apparatus includes an input receiver, a template selector, and a tracker. The input receiver receives an input operation of a user. The template selector specifies at least one template out of a plurality of templates that are related to a shape of an object based on the input operation received by the input receiver. The tracker tracks the object in an image including the object by using the at least one template specified by the template selector.