Template matching is a machine-learning technique to find areas of an image that match a given template image. We will apply template matching to every frame of a real-time video stream to locate an image.
Install the OpenCV and c2hs toolkits:
$ sudo apt-get install c2hs libopencv-dev
Install the CV library from cabal. Be sure to include the –fopencv24 or –fopencv23 parameter depending on which version of OpenCV is installed:
$ cabal install CV -fopencv24
Also, create a small template image. In this recipe, we use an image of Lena, which is usually used in many image-processing experiments. We name this image file lena.png:
In a new file, Main.hs, start with these steps:
Import the relevant libraries:
{-#LANGUAGE ScopedTypeVariables#-} module Main where import CV.Image (loadImage, rgbToGray, getSize) import CV.Video (captureFromCam, streamFromVideo) import Utils.Stream (runStream_, takeWhileS, sideEffect) import CV.HighGUI...