Fiducial Marker Discrimination for Multi-User Hand Tracking
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Solution Overview
Problem
Existing systems that capture images of objects using markers, such as gloves, cannot determine the identity of the user associated with the hand when multiple users are present, making it impossible to accurately issue operation instructions based on marker states.
Innovation Solution
A program that includes a fiducial-marker discrimination unit, start-point identification unit, structured-marker determination unit, and operation instruction unit, which use marker information to discriminate fiducial markers, identify start points, determine structured marker states, and output instructions to the correct object based on object identifiers, enabling accurate user identification and operation control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If marker recognition is used to detect hand motion, then hand motion detection capability is improved, but user identity determination capability deteriorates when multiple users are present
Solution Approach 1:
The marker system is divided into two distinct types: fiducial markers for user identification and structured markers for hand motion detection. This segmentation allows each marker type to serve its specific function independently, resolving the contradiction between detecting hand motion and determining user identity.
Solution Approach 2:
Fiducial markers serve as intermediaries that link captured images to object identifiers, enabling the system to determine which user is associated with which hand. These markers mediate between the image data and user identity information, solving the problem of user identification in multi-user scenarios.
2Difficulty of detecting and measuring
If only structured markers are used for hand detection, then hand motion recognition is improved, but object association capability deteriorates
Solution Approach 1:
The marker system separates identification functions (fiducial markers) from motion detection functions (structured markers). This segmentation ensures that structured markers can be optimized for hand motion recognition while fiducial markers handle object association, eliminating the loss of information about object identifiers.
3Measurement precision
If marker information is stored and processed, then user identification accuracy is improved, but system complexity increases
Solution Approach 1:
The system extracts and stores only essential identification information (object identifiers associated with fiducial markers) rather than processing complete image data. This extraction approach improves user identification accuracy while minimizing the increase in system complexity by storing only necessary data.
4Measurement precision
If fiducial markers are introduced for user identification, then user identity determination is improved, but marker discrimination difficulty increases
Solution Approach 1:
Different regions of the image are processed with different discrimination strategies: fiducial markers use object identifier-based discrimination while structured markers use shape-based discrimination. This local quality approach optimizes discrimination difficulty for each marker type according to its specific characteristics and function.
Data Source
AI summary
A program stored on a non-transitory computer readable medium executable on a computer to perform discriminating a fiducial marker from captured images successively output from a camera, based on marker information representing associations between fiducial markers and object identifiers, identifying start points of one or more structured markers in the captured images based on the discriminated fiducial marker and position information defined in association with the fiducial marker, determining states of the one or more structured markers continuing from the start points, and outputting an operation instruction in accordance with the determined states of the one or more structured markers to an object discriminated based on the object identifier associated with the discriminated fiducial marker.