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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:
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- @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.
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Theory
------
Code
----
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@add_toggle_cpp
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This tutorial code's is shown lines below. You can also download it from
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[here ](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/objectDetection/objectDetection.cpp )
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@include samples/cpp/tutorial_code/objectDetection/objectDetection.cpp
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@end_toggle
@add_toggle_java
This tutorial code's is shown lines below. You can also download it from
[here ](https://github.com/opencv/opencv/tree/3.4/samples/java/tutorial_code/objectDetection/cascade_classifier/ObjectDetectionDemo.java )
@include samples/java/tutorial_code/objectDetection/cascade_classifier/ObjectDetectionDemo.java
@end_toggle
@add_toggle_python
This tutorial code's is shown lines below. You can also download it from
[here ](https://github.com/opencv/opencv/tree/3.4/samples/python/tutorial_code/objectDetection/cascade_classifier/objectDetection.py )
@include samples/python/tutorial_code/objectDetection/cascade_classifier/objectDetection.py
@end_toggle
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Explanation
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Result
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-# Here is the result of running the code above and using as input the video stream of a build-in
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webcam:
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Be sure the program will find the path of files *haarcascade_frontalface_alt.xml* and
*haarcascade_eye_tree_eyeglasses.xml* . They are located in
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*opencv/data/haarcascades*
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-# This is the result of using the file *lbpcascade_frontalface.xml* (LBP trained) for the face
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detection. For the eyes we keep using the file used in the tutorial.
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Additional Resources
--------------------
-# Paul Viola and Michael J. Jones. Robust real-time face detection. International Journal of Computer Vision, 57(2):137– @cite Viola04
-# Rainer Lienhart and Jochen Maydt. An extended set of haar-like features for rapid object detection. In Image Processing. 2002. Proceedings. 2002 International Conference on, volume 1, pages I– @cite Lienhart02
-# Video Lecture on [Face Detection and Tracking ](https://www.youtube.com/watch?v=WfdYYNamHZ8 )
-# An interesting interview regarding Face Detection by [Adam
Harvey](https://web.archive.org/web/20171204220159/http://www.makematics.com/research/viola-jones/)
-# [OpenCV Face Detection: Visualized ](https://vimeo.com/12774628 ) on Vimeo by Adam Harvey
