Human-detection-and-Tracking

Training AdaBoost Classifier of 500 estimators to classify HOG&LBP features of TB &NTB (Tuberculosis) chest X-ray images

Human beings perform face recognition automatically every day and practically with no effort. Although it sounds like a very simple task for us, it has proven to be a complex task for a computer, as it has many variables that can impair the accuracy of the methods, for example: illumination variation, low resolution, occlusion, amongst other. In computer science, face recognition is basically the task of recognizing a person based on its facial image. It has become very popular in the last two decades, mainly because of the new methods developed and the high quality of the current videos/cameras.

A generic face detection algorithm using haar-cascades and tweaking to improve the performance on raspberry pi 3.

This project is made for the purpose of Face recognition for organization purpose.Its in inital phase

Attendance marking of student's using face recognition in machine learning

It is performed over Yalefaces datasets

This is a simple face detection and recognition script used to detect the face and create a bounding circle around it and also label it.