Motion Tracking Collection

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💎Aqua

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“Low cost motion capture system for room scale tracking”

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🔮Psychic

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“Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.”

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🔮Psychic

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“A Unix, Windows, Raspberry Pi Object Speed Camera using python3, opencv, video streaming, motion tracking. Includes a Standalone Web Server , Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync scripts. ”

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🔮Psychic

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“realtime motion tracking in blender using mediapipe and rigify”

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📦Normal

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“A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.”

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🔮Psychic

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“Raspberry PI-TIMOLO ( PI-TImelapse, MOtion, LOwLight ) uses RPI picamera and OpenCV for Remote Headless Security Monitoring using Motion Tracking, Rclone Auto Sync files with remote storage services. Auto Twilight Transitions and Low Light Camera Settings. Panoramic images using PanTiltHat and More. This project is featured on GitHub Awesome software.”

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🔮Psychic

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“HoloMotion: A Foundation Model for Whole-Body Humanoid Control”

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🔮Psychic

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“GRAB: A Dataset of Whole-Body Human Grasping of Objects”

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🔥Fire

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“Digital Image Correlation & Digital Volume Correlation Library”

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🔮Psychic

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“A Python toolbox for analysing animal body movements across space and time”

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🔮Psychic

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“A open-source VR mocap studio built in Unity”

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📦Normal

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“Lua plugin for Aegisub auto4 that parses motion tracking data and applies it to selected subtitles.”

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🔮Psychic

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“Automatic Rotoscoping/Masking tool powered with Machine Learning for Blender (WIP)”

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🔮Psychic

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“Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)”

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🔮Psychic

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“[CVPR 2026] 3D Motion Reconstruction for 4D Synthesis”

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📦Normal

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“MATLAB implementation of UAV (unmanned aerial vehicle) control simulation, with RRT (rapidly exploring random tree) for path planning, B-Spline for trajectory generation and LP (linear programming) for trajectory optimization. ”

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🔥Fire

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“Movement data collection using MPU6050 and Raspberry Pi. And obtaining the position and velocity with Python and Matplotlib, with visualization and data processing.”

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🔥Fire

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“A Low-cost Open-source High-speed Multi-camera Motion Capture System.”