It has been a while since the last update and post. But the project is still alive, even with some time off between certain versions. At this stage, I’m checking for POIs (Pixel of Interests) with a simple threshold algorithm. I assume, that every red pixel on the image belongs to a sign. This list of POIs is later on sorted and the four outer are connected to form a box and highlight the sign. You can see the output on the screenshots.
If there are more pixels in the image, that pass the threshold algorithm, they are included in the highlight and falsify the result. A new approach to sort out the non-interest pixels needs to be established. I’ll work with with different AOIs (Area of Interest), which give me the ability to detect more than one sign at once.
The idea of AOIs can be transferred to other algorithms finding POIs, like the before mentioned separation algorithm. But I’ll stick at the threshold algorithm and see how far I gen get with that. Until this point, I only searched for red signs. I’m curious, how the search for every possible sign colour influences the speed of the analysis. Just remember, that the program should do this quite fast in order to highlight signs in a live video stream while driving at a certain speed.
But until I can work with camera input, I need to improve my algorithms. Until then,
Stay tuned, lyinch!