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Cascade Classifier {#tutorial_cascade_classifier}
==================
Goal
----
In this tutorial you will learn how to:
- Use the @ref cv::CascadeClassifier class to detect objects in a video stream. Particularly, we
will use the functions:
- @ref cv::CascadeClassifier::load to load a .xml classifier file. It can be either a Haar or a LBP classifer
- @ref cv::CascadeClassifier::detectMultiScale to perform the detection.
Theory
------
Code
----
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/objectDetection/objectDetection.cpp)
. The second version (using LBP for face detection) can be [found
here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp)
@include samples/cpp/tutorial_code/objectDetection/objectDetection.cpp
Explanation
-----------
Result
------
-# Here is the result of running the code above and using as input the video stream of a build-in
webcam:
Remember to copy the files *haarcascade_frontalface_alt.xml* and
*haarcascade_eye_tree_eyeglasses.xml* in your current directory. They are located in
*opencv/data/haarcascades*
-# This is the result of using the file *lbpcascade_frontalface.xml* (LBP trained) for the face
detection. For the eyes we keep using the file used in the tutorial.
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