I am working on a project that uses four cameras to detect objects with the YOLO detector and track them using MATLAB. My question is: what are the best methods to match the trajectories of these objects so that the cameras and algorithms can easily identify their similarities? I have tried several matching algorithms, but they have failed in some cases. I would greatly appreciate any good advice on this matter.

all algorithms for matching the features, deep neural network for feature matching. the problem is that in a video i have many objects where they are similar to each other.