Implementation of Viola-Jones for Detection of Facial Factors of Human for Prospect of Image Recognition

Siddiqui, Abdul Wasay and Alam, M. Afshar and Kaur, Harleen and Ahmed, Jawed (2021) Implementation of Viola-Jones for Detection of Facial Factors of Human for Prospect of Image Recognition. In: ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India.

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Abstract

This is an application for tracking and detecting human faces and eyes from video or images, which can be used for different purposes and applications. The face is one of the distinguishing factors which can easily be used for the identification of an individual. The primary goal of this paper is to study the Viola-jones (VJ) algorithm, its four stage processes (Haar like Features, Integral Images, Adaboost and Cascading) and its implementation using OpenCV for face, eye and smile detection. It's an adroit algorithm basically targets the frontal faces for better detection accuracy.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: face detection viola-jones haar features adaboost cascading integral images rekognition deep-face face-net machine learning deep learning computer vision
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 06 May 2021 09:38
Last Modified: 06 May 2021 09:38
URI: https://eprints.eudl.eu/id/eprint/2927

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