Face detection using combination of skin color pixel detection and Viola-Jones face detector

Luh, Guan-Chun

doi:10.1109/icmlc.2014.7009143

Cited by 23 publications

(5 citation statements)

References 33 publications

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“…Face Recognition through image processing is important Biometric system for identification of a person [2][3]. It is a suitable method of identifying a person with its unique gestures and facial expression through Viola Jones algorithm as it can recognize an accurate and high speed person [4][5][6][7][8][9][10]. In this way with the help of image processing a driver can easily be identified as every person has a unique gestures and facial expression by which he/ she can be recognized.…”

Section: Exhaustive Security System Based On Face Recognition Incorpomentioning

confidence: 99%

Exhaustive Security System Based on Face Recognition Incorporated with Number Plate Identification using Optical Character Recognition

Zaheen

Mohi-u-din

Siddique

et al. 2020

Mehran Univ. res. j. eng. technol.

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In recent times due to rise in terrorism, people need to live in a safer place where unidentified persons will not be allowed to enter in the premises. Securing of major areas is a vital issue that needs to be addressed for the intelligence and security agencies. At the surrounding of premises, CCTV (CloseCircuit Television) cameras are usually installed to identify the number plate from database by using OCR (Optical Character Recognition) algorithm. This method of security by identifying only vehicle without verifying the person inside it is usually causing serious security issues. Identification of a person is usually done through image processing by using Viola Jones algorithm and acquire the information of the facial components to create a dataset for machine learning. It is imperative to introduce such a system that will be capable to identify the person along with the number plate of vehicle from the stored database. In this research, a comprehensive security system based on face recognition integrated with the vehicle number plate is proposed. The combined information of both dedicated cameras is then transferred to the based station for identification. This system is capable, of securing premises from crime in a more enhanced way.

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Section: Exhaustive Security System Based On Face Recognition Incorpomentioning

confidence: 99%

Exhaustive Security System Based on Face Recognition Incorporated with Number Plate Identification using Optical Character Recognition

Zaheen

Mohi-u-din

Siddique

et al. 2020

Mehran Univ. res. j. eng. technol.

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“…Fan, Yin et al in their paper proposed a system where features are being extracted by convolutional neural network [11]. RNN takes these over individual video frames as input and encodes motion later, while C3D models appearance and motion of video simultaneously describes a rule-based algorithm for robust facial expression recognition combined with robust face detection using a convolutional neural network [9].…”

Section: Related Workmentioning

confidence: 99%

Implementation of Convolutional Neural Network to Realize a Real Time Emotion based Music Player

2019

IJRTE

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The ability to represent the world as a nested hierarchy of concepts, by defining each concept in relation to abstract representations has promoted deep learning to be widely used as a processing model for solving data science tasks. The era of digitalization has allowed the deep learning technology to flourish and machines with the ability to analyse huge amount of complex data would now be able to give progressively exact outcomes due to its supremacy in terms of accuracy when trained with massive amount of data. Convolutional Neural Networks(CNN), being a deep neural network with their ability to develop an internal representation of a two-dimensional image, allows the model to learn position and scale invariant structures in the data, which is important when working with images. For realizing emotion aware applications, the system must be highly accurate and in real time. In this paper, we provide the design and implementation details of a real time emotion based music player using CNN with the aim to reduce human effort and invoke the feasibility of Human Computer interaction(HCI).

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“…Artificial intelligence required a large amount of data. Then as a solution authors use YOLO, however, a single YOLO version did not detect a large number of objects accurately [6]. In [7] authors, highlight the issue of car number plate detection.…”

Section: Introductionmentioning

confidence: 99%

Automatic Face Mask Detection on Gates to Combat Spread Of Covid_19

Musa

2022

ijodas

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The COVID-19 pandemic has spread across the globe, hitting almost every country. To stop the spread of the COVID-19 pandemic, this article introduces face mask detection on a gate to assure the safety of Instructors and students in both class and public places. This work aims to distinguish between faces with masks and without masks. A deep learning algorithm You Only Look Once (YOLO) V5 is used for face mask detection and classification. This algorithm detects the faces with and without masks using the video frames from the surveillance camera. The model trained on over 800 video frames. The sequence of a video frame for face mask detection is fed to the model for feature acquisition. Then the model classifies the frames as faces with a mask and without a mask. We used loss functions like Generalize Intersection of Union for abjectness and classification accuracy. The datasets used to train the model are divided as 80% and 20% for training and testing, respectively. The model has provided a promising result. The result found shows accuracy and precision of 95% and 96%, respectively. Results show that the model performance is a good classifier. The successful findings indicate the suggested work's soundness.

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Face detection using combination of skin color pixel detection and Viola-Jones face detector

Cited by 23 publications

References 33 publications

Exhaustive Security System Based on Face Recognition Incorporated with Number Plate Identification using Optical Character Recognition

Exhaustive Security System Based on Face Recognition Incorporated with Number Plate Identification using Optical Character Recognition

Implementation of Convolutional Neural Network to Realize a Real Time Emotion based Music Player

Automatic Face Mask Detection on Gates to Combat Spread Of Covid_19

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