Markerless Motion Capture System Using Hough Transforms
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Solution Overview
Problem
Current motion capture systems face challenges in providing real-time accuracy and efficiency, often requiring markers that can interfere with the subject's motion and limit the scope of analysis, while also being unable to perform markerless capture effectively.
Innovation Solution
A motion capture system that allows for real-time measurement and analysis of motion without the need for specific marker locations, using system variables to restrict possible positions and employing markerless capture techniques such as Hough transforms and triangulation to identify subjects, enabling efficient and accurate motion capture and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If markers are placed on the subject to determine position and orientation, then motion capture accuracy is improved, but the markers interfere with the subject's motion and limit the scope of analysis
Solution Approach 1:
The patent removes markers entirely from the system, extracting the harmful element while preserving the motion capture function. The system uses natural body features and computer vision algorithms to track motion without any physical attachments to the subject.
Solution Approach 2:
The patent replaces the mechanical marker-based system with an optical/computer vision-based system. Instead of using physical markers that reflect or emit light, the system uses image processing algorithms to detect and track body landmarks directly from camera images.
2Speed
If real-time motion capture is implemented, then performance feedback speed is improved, but accuracy or scope of motion analysis is sacrificed
Solution Approach 1:
The patent performs preliminary calibration and model creation before the actual motion capture session. The 3D human body model is constructed in advance based on individual body measurements, so that during real-time capture, only motion tracking is required, not full model construction, enabling real-time performance with high accuracy.
Solution Approach 2:
The patent uses a dynamic optimization approach where the 3D body model is continuously adjusted frame-by-frame to match the captured images. The system dynamically solves for body pose parameters in real-time using iterative optimization algorithms that converge quickly, maintaining both speed and accuracy.
3Device complexity
If a limited number of markers are used to determine subject position, then device complexity is reduced, but measurement accuracy deteriorates
Solution Approach 1:
The patent creates a virtual 3D copy of the human body that mirrors the subject's motion. Instead of using physical markers, the system generates a digital twin that is tracked through computer vision, providing accurate position and orientation data without physical attachments.
Solution Approach 2:
The patent changes the fundamental parameters of the system by moving from discrete marker coordinates to continuous 3D body model parameters. The system tracks dozens of body landmarks simultaneously and fits them to a parametric human body model, providing comprehensive motion data without the limitations of sparse marker sets.
Data Source
AI summary
A system and method for measuring, animating, and analyzing motion in real-time is provided which operates with or without markers. System variables are used with a motion model to restrict the number of possible locations of a subject. The system variables are based on known or detected relationships between the motions of the various elements of the model. Visual comparisons and quantitative comparisons provide feedback and help a subject learn or improve a motor skill.