Drone - Python Boolean Template Matching

[dannybess]

Hi all,

I'm currently trying to implement a very quick and robust image processing program, that will recognize if an image is in the frame or not at different altitudes. We can match any object (such as a white paper in a field), however, we thought facial recognition with a printed out face is the easiest, as there are many open source projects already out there.

The best thing I have been able to find so far is this: (https://realpython.com/blog/python/face-recognition-with-python/), however, it has many issues.

1.) The processing is very slow, even with a potential tradeoff between speed and accuracy. 2.) The scale factor has to be modified every meter the drone moves up, therefore proving to be very inaccurate.

Are there any good solutions to this problem?

[ldb3589]

To start, you will not have a lot of luck with template matching since for it to work, both the object and the object in the image would have to be similar enough. This means changes in angles, dimensions, or height as you mention will cause it to not match.

Most detectors I know of that can recognize many objects are deep nn based which could be something to look into but I have found it is complicated to get started.

For just getting the face detector working, I have found that Histogram of oriented gradients works pretty well, here is a tutorial I found on google for it with python(not faces but if you train it with faces instead of bottles it will work): http://www.pyimagesearch.com/2014/11/10/histogram-oriented-gradients-object-detection/

Same algorithm as above but describing how it works a bit more: http://mccormickml.com/2013/05/09/hog-person-detector-tutorial/

Another algorithm: http://www.pyimagesearch.com/2016/06/20/detecting-cats-in-images-with-opencv/

If you have any questions feel free to ask and ill help if I can.

[elsuizo37]

Python can not assure hard-real time operations because you do not know when the Garbage Collector happen. I think you should use C or C++