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Object detection with OpenCV on Java (Face, eyes, mouth, other objects etc.)
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Ders Materyalleri

OpenCV object detection

Object detection examples with haar cascade classifier algorithm (Face, eyes, mouth, other objects etc.). Cascade Classifier Training

Haar cascade classifier

Object Detection using Haar feature-based cascade classifiers is an effective object detection method proposed by Paul Viola and Michael Jones in their paper, "Rapid Object Detection using a Boosted Cascade of Simple Features" in 2001. It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. It is then used to detect objects in other images.

Examples 1: Face And Eye Detection


OpenCV 3.x version

Face and eye detection by the camera using haar cascade algorithm. haarcascade_frontalface_default and haarcascade_eye OpenCV Face and eyes detection with Java Everything Is AWESOME

Examples 2: Object Detection and Tracking Using Color


OpenCV 2.4.x version

An example of an application where OpenCV is used to detect objects based on color differences

Examples 3: Object Detection with Template Matching


OpenCV 3.x version

Template Matching Object Detecting with Template Matching

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