Detecting faces and eyes through a camera stream

The camera is another source for real-time data. As frames come and go, we can perform powerful analysis using the OpenCV library.

In this recipe, we conduct facial detection through a live camera stream.

Getting ready

Install the OpenCV, SDL, and FTGL libraries for image manipulation and computer vision:

sudo apt-get install libopencv-dev libsdl1.2-dev ftgl-dev

Install an OpenCV library using cabal:

cabal install cv-combinators

How to do it…

Create a new source file, Main.hs, and follow these steps:

1. Import the relevant libraries:

   import AI.CV.ImageProcessors
   import qualified AI.CV.OpenCV.CV as CV
   import qualified Control.Processor as Processor
   import Control.Processor ((--<))
   import AI.CV.OpenCV.Types (PImage)
   import AI.CV.OpenCV.CxCore (CvRect(..), CvSize(..))
   import Prelude hiding (id)
   import Control.Arrow ((&&&), (***))
   import Control.Category ((>>>), id)

2. Define the source of the camera stream. We will be using the...