Hybrid Motion Capture Markers for Accurate Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional motion capture systems face challenges in accurately tracking and distinguishing markers due to the similarity of data points, leading to time-consuming manual processing and difficulties in resolving high-resolution 3D surface motions.
Innovation Solution
A hybrid motion capture system using primary and secondary markers, where primary markers require tracking and secondary markers do not, with active and passive markers combined to facilitate real-time visualization and reduce manual cleanup through secondary marker signatures for labeling primary markers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spherical reflective markers are used in conventional motion capture systems, then accurate spatial coordinates can be determined, but the captured data points become nearly identical in appearance making automatic tracking difficult
Solution Approach 1:
The patent applies local quality by making each marker have unique visual characteristics (different colors, patterns, or shapes) while maintaining their spherical reflective structure. This allows each marker to be individually distinguished through its unique local appearance properties, solving the problem of indistinguishable markers while preserving spatial measurement accuracy.
Solution Approach 2:
The patent utilizes color changes or color differentiation among markers to enable automatic tracking. By assigning distinct colors or color patterns to different markers, the system can easily distinguish and track each marker's movement through frames, transforming the previously indistinguishable data points into uniquely identifiable visual elements.
2Measurement precision
If large numbers of markers are used to resolve high-resolution 3D surface motions, then motion capture precision improves, but the volume of data increases compounding tracking difficulties
Solution Approach 1:
The patent merges multiple markers into spatially proximate groups that share common tracking characteristics. By clustering markers and assigning them group-level identifiers or correlated visual patterns, the system reduces the effective number of individually trackable entities while maintaining the resolution benefits of having multiple markers in the capture volume.
3Measurement precision
If manual processing is used to distinguish and track individual data points, then tracking accuracy can be maintained, but processing time becomes lengthy and resource-intensive
Solution Approach 1:
The patent enables automatic self-tracking of markers through their unique visual characteristics. Each marker's distinct appearance (color, pattern) allows the tracking system to automatically identify and follow each marker's trajectory without human intervention, making the system self-sufficient and eliminating time-consuming manual processing while maintaining high tracking accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enables robust marker tracking from frame to frame, reducing manual processing and achieving high-fidelity motion capture with real-time performance by utilizing secondary marker signatures to label primary markers, thereby improving the accuracy and efficiency of motion capture data.
Implementation Method 1
Lamps in the capture space illuminate the reflective spheres and cameras capture the resulting reflections
Data Source
AI summary
Capturing the motion of a target. One method includes: coupling a plurality of primary markers to the target; coupling at least one secondary marker to the target; capturing a plurality of primary marker data points, wherein each primary marker data point corresponds to one primary marker of the plurality of primary markers; capturing at least one secondary marker signature, each secondary marker signature corresponding to and uniquely identifying each secondary marker of said at least one secondary marker; and identifying the plurality of primary markers using said at least one secondary marker signature.