Mastering Computer Vision with TensorFlow 2.x

The OpenCV tracking method

OpenCV has a number of built-in tracking methods:

• A BOOSTING tracker: An old tracker based on Haar cascades.
• A MIL tracker: Has better accuracy than the BOOSTING tracker.
• A Kernelized Correlation Filters (KCF) tracker: This is faster than the BOOSTING and MIL trackers.
• A CSRT tracker: This is more accurate than KCF but the tracking can be slower.
• The MedianFlow tracker: This tracker works when the object has a regular movement and is visible for the entire sequence.
• The TLD tracker: Do not use it.
• The MOSSE tracker: A very fast tracker but not as accurate as CSRT or KCF.
• The GOTURN tracker: A deep learning-based object tracker.

The implementation of the preceding methods in OpenCV is as follows:

tracker = cv2.TrackerBoosting_create() ...