An Effective Face Detection Algorithm for Client-Side Web-Based Solutions

Abstract

This paper studies a real-time face detection problem for online web applications and its solution. The main aim of this paper is to describe functionality of effective face detection algorithm and analyze existing solution in order to improve current situation. To obtain satisfying results Viola-Jones object detection framework is chosen, which uses feature selection in combination with Integral images, Ada-Boost training and Cascading classifiers. This algorithm is highly popular among existing javaScript frameworks for face or another objects detection for its extreme speed of image processing while achieving high detection rates and multiple objects detection. As analyzed answer for solving stated problem a javaScript tracking.js is chosen.