AdaBoost + Haar Features Example

This contains my study work related to Face Recognition methods

System detects vehicle density at traffic junctions and allots the required time to traffic lights for vehicle passage dynamically. Classifier is trained using positive and negative images. Further, Adaptive Boosting is used to combine a number of weak classifiers into a strong one. The outcome of AdaBoost is Trained Cascade, which is finally us…

The Haar wavelet-based perceptual similarity index (HaarPSI) is a similarity measure for images that aims to correctly assess the perceptual similarity between two images with respect to a human viewer.

An interactive visualization of Haar-like feature scaling

Detecting faces from the frames taken by the webcam. Using Python and OpenCV.

A face, eyes, and smile detector using Haar-like features with OpenCV.

Used haar-cascade to detect human face and smile using opencv

Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms.

face-detection by viola jones alg

Where Is (the) Ball /Ball Recognition with OpenCV

Face Detection Tutorial with OpenCV

🤳 AI Face Recognition for Official Purposes 📸

Fist, palm and hand detection & tracking for intelligent human-computer interaction game character movement control with OpenCV on Java (Processing sketchbook).

Detecting Text Areas on mixed Digital Documents. Using Python's OpenCV, Haar features,Morhological Features,Image Integral,SOM Neural Network.

In this repository I will try to help people understand how a haars-cascade classifier is made, and try to make the process more autonomous. I'm not an expert in python neither in openCV and accpet corrections.

Machine Learning 2 course - 2020

Training, detecting, and tracking a Haar Cascade in OpenCV with Python

Computer Vision & OpenCV Projects & Code Snippets