Detection is working really well, is there a way to add a tracker to it?

[xoxolo]

Good day,
I'm trying this on video feed / different computer configuration.
My labels are good generally, but no tracking creates:

• overcounting elements.
• different results from one machine to another due to a different frame rate.
  Any clue on a solution for this?
  Thanks a lot!
  O

[glenn-jocher]

@xoxolo 👋 Hello! Thanks for asking about object tracking in computer vision. YOLOv5 🚀 is an object detector that detect, localizes and classifies objects in a single image. It does not connect objects across multiple images, for this you need a tracking solution. A few possible tracking solutions are:

• Extended Kalman Filter (EKF): https://en.wikipedia.org/wiki/Kalman_filter
• KLT tracker: https://en.wikipedia.org/wiki/Kanade%E2%80%93Lucas%E2%80%93Tomasi_feature_tracker
• YOLOv5 DeepSort tracker: https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch

Good luck 🍀 and let us know if you have any other questions!