Digital Image Correlation & Digital Volume Correlation Library
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Updated
May 8, 2025 - C++
Digital Image Correlation & Digital Volume Correlation Library
Movement data collection using MPU6050 and Raspberry Pi. And obtaining the position and velocity with Python and Matplotlib, with visualization and data processing.
A Low-cost Open-source High-speed Multi-camera Motion Capture System.
Use the ESP32 as a software motion detector for whole house based on multipath interference in RSSI. Will detect human intruders when they cross the path between the ESP32 and other access points or wifi clients or freely move inside rooms / apartments..
A blender addon for motion tracking inspired by KeenTools GeoTracker
SteamVR Compatible Motion Controller with ESP8266 and Raspberry Pi
Motion capture tool for 2D/3D motion capture with LED markers.
Low-cost multi-view pose tracking using active markers
Vyro is a body motion tracking suit that uses a BMI160 IMUs and an ESP-32 to tracking your body movements.
Minimalistic library for motion detection using low cost ST LIS3DH, 3-axis MEMS accelerometer, ultra-low-power that works
Classic computer vision tasks
A setup for recording and analyzing walking motion using body-mounted ESP32 sensors. Each sensor is placed on a specific part of the body to capture detailed movement data, which can be used for gait analysis, motion research, or real-time activity monitoring.
sample code focused on my motion processing from IMUs in embedded systems
A C++ console application using the OpenCV library to realize laser robot guidance, accompanying a robotics and hardware project.
A virtual musical instrument based on motion tracking
Use kinect rgb, depth, infrared sensors & retro-reflective material to track hand gestures.
Code for the paper "Ultra-responsive, low-dimensional unfamiliar movement sonification guides unconstrained reaches to invisible targets in 3D space"
Older code. A collection of DirectX video filters for object tracking in still scenes.
AviUtl object tracking plugin based on LKT/optical flow. Use OpenCV 2.9 or newer.
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