#HaarDetection

This is a demo application highlighting the Haar Cascade detection implementation in Emgu CV using OpenCV. The application provides an interface to change various parameters of the Haar feature detector.

About Haar-like features

Haar-like features are digital image features used in object recognition. They owe their name to their intuitive similarity with Haar wavelets and were used in the first real-time face detector.

About Emgu CV

Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, iPhone, iPad and Android devices.

About OpenCV

OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real-time computer vision, developed by Intel, and now supported by Willow Garage and Itseez. It is free for use under the open source BSD license. The library is cross-platform. It focuses mainly on real-time image processing.

Haar Detection Parameters

• Scale Factor: Parameter specifying how much the image size is reduced at each image scale
• Minimum Neighbors: Parameter specifying how many neighbors each candidate rectangle should have to retain it
• Detection Type: If the Canny Pruning option is selected, the detector skips image regions that are unlikely to contain an object, reducing computational overhead and possibly eliminating some false detections
• Minimum Size: Minimum possible object size. Objects smaller than that are ignored
• Maximum Size: Maximum possible object size. Objects larger than that are ignored