I'm new to OpenCV and was hoping that someone more experienced might be able to point me in the right direction. I'm doing motion tracking on black-and-white videos of insects in flight. Running CSRT does a decent job of tracking the insects much of the time, but it sometimes loses the target when the insect crosses a changing background at a distance. Since my target appearance is very specific, I was thinking that I might be able to train my own classifier and use it to improve the accuracy of the CSRT tracker. Is there a way to add a custom Haar cascade (or other classifier method) to the CSRT source code, or would it be standard practice to add a classifier on top of the CSRT (i.e. write a function to reacquire the target every n frames using the custom classifier), or is there some other way this is typically done? I appreciate any insight. Thanks!
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