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PerceptionAlgorithms
2025

Camera-Only Motion Capture System

Self-healing calibration and rigid-body tracking system requiring only standard cameras.

The Problem

I built this system entirely from scratch, utilizing Structure from Motion (SfM) theory and applying it at a fundamental level to address the challenges of handling uncertainty and real-world noise in robotics. The core of the solution involves a custom pipeline built with Python, OpenCV, and Optimization that prioritizes modularity and performance to ensure execution within real-time constraints. Key features include autonomous hands-free calibration, robust occlusion handling, and a self-healing capability that allows the system to automatically recover and recalibrate if a camera is bumped or moved. Note that the code is not open source as it is proprietary to Relativity Space.

Approach

The core of the solution involves a custom pipeline built with Python, OpenCV, Optimization. I prioritized modularity and performance, ensuring the system can run in real-time constraints.

Results

10micron level accuracy
NRigid Bodies
Camera-Only Motion Capture System 1

Tech Stack

PythonOpenCVOptimization

Tags

#Computer Vision#Perception#Motion Capture