I have been searching object tracking algorithms in opencv, ranging from correlation filters , feature mapping to ones based on deep learning, but I am facing some difficulty in determining which one to fit my needs.
I have a research problem where I need a robust tracking for an object which its scale varies along time (but either in increase or in decrease “monotonic scale”). This can be modeled as a moving camera which heads (towards / away from) an object which is real-time detected. The idea is that the scale is changing in a noticeable way during the real-time.
What can I research and use in this case? Thanks in advance.