Contributor
Jose Rios

Realtime object tracking models


Mentors
Viktor Bebnev
Organization
OpenCV
Technologies
python, opencv, c++, Python Notebooks
Topics
machine learning, computer vision, edge devices
Deep learning techniques impressively improve the performance of object tracking algorithms. Such algorithms have been deployed on some drones and robot dogs, with which people can record videos in a distance without the concern of losing cameras. Computation capacity and power supply can be critical on edge devices such as drones and robot dogs. Object tracking models should be real-time and power-efficient enough to run on edge devices.