Structured Prediction Helps 3D Human Motion Modelling - ICCV '19
-
Updated
Jun 15, 2023 - Python
Structured Prediction Helps 3D Human Motion Modelling - ICCV '19
This repository contains solution for SLAM lectures taught by Claus Brenner on YouTube.
Working on five computer vision tasks (optical flow, mean-shift tracking, correlation filter tracking, advanced tracking, and long-term tracking) using the programming language Python.
Excercises and examples from the Probabilistic Robotics book by Thrun, Burgard, and Fox.
Add a description, image, and links to the motion-models topic page so that developers can more easily learn about it.
To associate your repository with the motion-models topic, visit your repo's landing page and select "manage topics."