Tracking

This page introduces the user to the way to track objects in images.

• Tutorial: Blob tracking
  This tutorial introduces blob tracking and detection.
• Tutorial: Keypoint tracking
  This tutorial focuses on keypoint tracking using Kanade-Lucas-Tomasi feature tracker.
• Tutorial: Moving-edges tracking
  This tutorial focuses on line and ellipse tracking using moving-edges.
• Tutorial: Markerless generic model-based tracking using a color camera
  This tutorial focuses on model-based trackers using either moving edges, or keypoints, or a combination of them as visual features on images acquired by a monocular color camera.
• Tutorial: Markerless generic model-based tracking using a stereo camera
  This tutorial focuses on model-based trackers using either edges, or keypoints, or a combination of them as visual features on images acquired by a stereo color camera.
• Tutorial: Markerless generic model-based tracking using a RGB-D camera
  This tutorial focuses on generic model-based trackers combining moving edges and/or keypoints with depth visual features.
• Tutorial: Markerless generic model-based tracking using AprilTag for initialization (use case)
  This tutorial is a simple use case. Using a webcam or an Intel RGB-D camera it shows how to test the generic model tracker on a cube that has an AprilTag glued on one face. The tag is here used to automate the tracker initialization.
• Tutorial: Loading a model-based generic tracker from JSON
  This tutorial shows how to load and save the full tracker configuration from a json file.
• Tutorial: Markerless model-based tracking (deprecated)
  This deprecated tutorial focuses on model-based trackers using either edges, keypoints or and hybrid scheme that uses edges and keypoints.
• Tutorial: Markerless model-based tracker CAD model editor - GSoC 2017 project
  This tutorial presents the project done during the GSoC 2017: two Blender plugins to import/export .cao model file and a Qt-based .cao editor.
• Tutorial: How to use Blender to generate simulated data for model-based tracking experiments
  This tutorial shows how to use Blender to generate simulated data to test the model-based tracker.
• Tutorial: Template tracking
  This tutorial focuses on template trackers based on image registration approaches.
• Tutorial: Tracking with MegaPose
  This tutorial shows how to use megapose, a deep learning pose estimation solution, to perform single object tracking.
• Tutorial: Exporting a 3D model to MegaPose after reconstruction with NeRF
  This tutorial shows how to prepare your 3D model for usage in megapose after reconstruction with Neural Radiance Fields (NeRF).
• Tutorial: Tracking with the Render-Based Tracker
  This tutorial explains how the ViSP render-based tracker works and how to use it to estimate the 6D pose of an object with a known 3D model.