Hello,
I have been working on a project which tracks multiple faces in video sequences. My tracking algorithm may stop tracking for some cases (i.e. occlusion). So to give same ID to the lost face on next frames I want to match new detected face with a face which is lost in previous frames. For example a short-term memory like ~3 seconds is just enough for me.
To implement this feature I have been researching on feature descriptors and a score generated by matching these descriptors.
I am curious about whether this is a reasonable way for solving this problem? If not could you give some advices on this issue?
Best wishes.
