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Asked: 2026-05-24T03:00:57+00:00

I am writing a simple fly tracking software and I would love some input

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I am writing a simple fly tracking software and I would love some input from opencv experts.

The image I have looks pretty much like:

sample image for fly tracking

I used to do tracking using kmeans and PIL/numpy but I re-wrote everything to use blob detection in opencv. Tracking works OK but I would also like to automatize division of ROI.
What I need to do is find each of the 32 grooves that appear in the picture, where flies live. See the black rectangle on the image as example of what I mean.

I think cornerHarris may be what I need but how do I specify only the grooves and not each single rectangle found in the image? All those grooves have proportions of roughly 10:1.

Thanks!

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  1. Editorial Team

    I don’t think cvCornerHarris is even close to what you need.

    A much better start would be to experiment with the demo available at: OpenCV-2.3.0/samples/cpp/squares.cpp. This technique uses Canny(), dilate() and findCountour().

    Right out of the box, this demo outputs:

    enter image description here

    I believe that with a few tweaks here and there you can have your party started.

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