Multiple Object Tracking using YOLOv8
Published:
The title is self explanatory. I made this project as a part of our data collection pipeline for CrowdSurfer. CrowdSurfer required a lot of data and we decided to collect all the data using our custom wheelchair inside the IIIT Hyderabad campus. MOT using YOLOv8 works with an open-set, meaning it detects any obstacle with a relatively high degree of confidence. I made a ROS implementation so that it can easily work with the other components of the stack.
Features
- Open-Set
- Interfaced with RealSense D455 ROS
- High degree of confidence
Technologies Used
- Computer Vision
- PyTorch
- ROS Noetic