matlab-deep-learning/pose-estimation-3d-with-stereo-camera
This demo uses a deep neural network and two generic cameras to perform 3D pose estimation.
This project helps you accurately track and analyze human body movements in three dimensions using two standard cameras. By feeding video streams from a stereo camera setup into a deep neural network, it outputs precise 3D pose estimations. This is ideal for researchers or engineers in biomechanics, sports science, or robotics who need to quantify human motion.
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Use this if you need to measure and understand 3D body posture and movement from standard camera footage for analysis or control applications.
Not ideal if you need a real-time, high-speed tracking solution for complex industrial environments or require tracking of non-human subjects.
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Language
MATLAB
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Last pushed
Apr 28, 2021
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