Yeah, it doesn't look like much... but I'm excited. I've been meaning to do this a while, just didn't have the time. I'll be doing a variety of tests to see how it preforms. It has several "Match" algorithms to play with (CV_TM_CCOEFF_NORMED, CV_TM_SQDIFF, etc) - and I think there are several normalization routines.
This match algorithm seems fairly fast @ 120 ms - Haar Face Detection takes longer...
The template used is this
and I manually created it by cropping a piece out with gimp.
The next step is to “select” the object of interest out using the mouse through the screen.
The next step after that would be dynamically/programmatically select an area of interest and store it.
End goal would be to have something which works like these 2 videoshttps://www.youtube.com/watch?v=fQ59dXOo63o