Driver exhaustion is the majority frequent reason for the deadly highway accident around the earth. This shows that in the motor vehicle industry, particularly, anywhere a driver of a serious motor vehicle is frequently uncovered to hours of dull driving which causes exhaustion, lacking normal rest time. Appropriate to the normal frequency of driver exhaustion, this has become a part of huge public financial anxiety. Accordingly, a road accident avoidance structure by detecting driver’s...
Topics: Tiredness, Face Detection, Eyes Detection & Alert
The eye detection is one of the most challenging problems in many applications such as image processing, pattern recognition and computer vision. This paper introduces efficient vlsi implementation of eye detection system. Face detection is a very important part of the developed eye detection algorithm. Face detection is done by using skin detection method. Skin detection is an extraction of skin color pixels and regions from an image. In this method, first input image is converted from RGB...
Topics: Face Detection, Eye Detection, RGB, YUV.
3
3.0
Aug 11, 2020
08/20
by
Ariel Ephrat; Inbar Mosseri; Oran Lang; Tali Dekel; Kevin Wilson; Avinatan Hassidim; William T. Freeman; Michael Rubinstein
data
eye 3
favorite 0
comment 0
AVSpeech is a new, large-scale audio-visual dataset comprising speech video clips with no interfering background noises. The segments are 3-10 seconds long, and in each clip the audible sound in the soundtrack belongs to a single speaking person, visible in the video. In total, the dataset contains roughly 4700 hours* of video segments, from a total of 290k YouTube videos, spanning a wide variety of people, languages and face poses. For more details on how we created the dataset see our paper,...
Topics: speech isolation, lip reading, face detection
Source: http://academictorrents.com/details/b078815ca447a3e4d17e8a2a34f13183ec5dec41
In the era of modern technologies emerging at rapid pace there is no reason why a crucial event in education sector such as attendance should be done in the old boring traditional way. Attendance monitoring system will save a lot of time and energy for the both parties teaching staff as well as the students. Attendance will be monitored by the face recognition algorithm by recognizing only the face of the students from the rest of the objects and then marking the students as present. The system...
Topics: Face Detection, Face Recognition, Viola-Jones, LBPH
Truly impaired and simple minded individuals are a significant aspect of our general public that has not yet gotten similar open doors as others in their consideration in the Information Society. In this way, it is important to grow effectively open frameworks for PCs to accomplish their consideration inside the new advances. This venture presents whose goal is to attract handicapped individuals closer to new advancements. In this undertaking the assistive multimodal framework is introduced,...
Topics: FACE DETECTION, EYE TRACKING, WEBCAME CURING, LODINGS
339
339
Dec 21, 2014
12/14
by
Innovative Research Publications
texts
eye 339
favorite 0
comment 0
This paper presents a approach on how to reduce stress and fatigability in the user’s eyes, muscles and also backbone when the user is using a computer. The study uses image processing technique for the detection of the face of the user. The monitor of the desktop computer is connected with a DC motor that will auto align itself to the face of the user in order to make sure it is in front of the user’s face. If the user moves its head sideward the monitor will align and this will help the...
Topics: Computer Workstation, Ergonomic, Face Detection, Image Processing
Face detection is a critical task to be resolved in a variety of applications. Since faces include various expressions it becomes a difficult task to detect the exact output. Face detection not only play a main role in personal identification but also in various fields which includes but not limited to image processing, pattern recognition, graphics and other application areas. The proposed system performs the face detection and facial components using Gabor filter. The results show accurate...
Topics: face detection, Gabor jets, Gabor Wavelet, facial component
Lately, many of the road accidents have been attributed to the driver stupor. Statistics revealed that about 32% of the drivers who met with such accidents demonstrated the symptoms of tiredness before the mishap though at vary ing levels. The purpose of this research paper is to revisit the various interventions that have been devised to provide for assistance to the vehicle users to avert unwarranted contingencies on the roads. The paper tries to make a sincere attempt to encapsulate the body...
Topics: Driver behavior, Eye detection, Face detection, Fatigue, Skin
25
25
Mar 30, 2021
03/21
by
Hussein Alhamzawi
texts
eye 25
favorite 0
comment 0
Extraction of facial features is an important step in automatic visual interpretation and recognition of human faces. Among the facial features, the eyes play a major role in the recognition process. In this article, we present an approach to detect and locate the eyes in frontal face images. Eye regions are identified using the technique of voucher detection based on mathematical morphology. After this identification is made a comparison between the variances of three different portions of...
Topics: Binarization, Eye Center Location, Face Detection, Median Filter
Manuals: Contributions Inbox
4
4.0
Jan 20, 2022
01/22
by
Manjunath K. E., Yogeen S. Honnavar, Rakesh Pritmani, Sethuraman K.
texts
eye 4
favorite 0
comment 0
The objective of this work is to develop methodologies to detect, and report the non-compliant images with respect to indian space research organisation (ISRO) recruitment requirements. The recruitment software hosted at U. R. rao satellite centre (URSC) is responsible for handling recruitment activities of ISRO. Large number of online applications are received for each post advertised. In many cases, it is observed that the candidates are uploading either wrong or non-compliant images of the...
Topics: Face detection, Haar cascade classifier, Histogram, Opencv, Template matching
147
147
Feb 19, 2016
02/16
by
IASET JOURNALS
texts
eye 147
favorite 0
comment 0
Lip area detection and extraction is essential for many applications like facial expression, lip reading and visual speech recognition. In general, the lip segmentation in color image is a tedious task because the color difference between lip and skin region is not so apparent sometimes, which is a major issue in lip reading system. The objective of this work is to provide the solution to the problem of lip segmentation from the video using Image Processing techniques. In this work, Otsu based...
Topics: Face Detection, Image Segmentation, Otsu Method, Thresholding, Inverted Image
22
22
May 25, 2021
05/21
by
Arulananth T. S, Baskar M, Sateesh R.
texts
eye 22
favorite 0
comment 0
Face detection, monitoring of human face and recognition is a high-quality venture in safety, surveillance and regulation enforcement systems with greater accuracy. There are many motives at the back of in this trouble. Which include function of the human face; pose version, negative environmental conditions, terrible lightning and picture tilt etc,. So we must locate a few feasible solutions to clear up those issues by means of imposing a brand new system. Our proposed venture might be...
Topics: Contour matching, Face detection, Face monitoring, Face recognition, Geometric contours
Through the increasingly common use of devices that provide ubiquitous sensor data such as wearables, mobile phones, and Internet-connected devices of the sort, privacy challenges are becoming even more significant. One major challenge that requires more focus is bystanders' privacy, as there are too few solutions that solve the issue. Of the solutions available, many of them do not give bystanders a choice in how their private data is used, Bystanders' privacy has become an afterthought when...
Topics: Privacy, Face Detection, Face Recognition, Wearables, Internet of Things, FacePET
36
36
Apr 6, 2021
04/21
by
Ashutosh Satapathy, Jenila Livingston L. M
texts
eye 36
favorite 0
comment 0
Virtual classroom is one of the fastest growing educational technologies used by many industries and institutions. Today, Voice over Internet Protocol (VoIP) cloud is become a most accepted replacement to different virtual classroom technologies such as internet chat, internet radio, web conferencing, traditional video conferencing and peer to peer VoIP calls. It provides greater flexibility, reliability and cost efficient telecommunication features and operates on comparatively lesser...
Topics: Liveness face detection, Monitoring system, Virtual classroom, VoIP, VoIP cloud
14,606
15K
data
eye 14,606
favorite 4
comment 1
Face-O-Matic was an experimental, public service, developed by the Internet Archive's TV News Archive in collaboration with Matroid . Face-o-Matic tracked the faces of selected high level elected officials on major TV cable news channels: CNN, Fox News, MSNBC, and the BBC. First launched as a Slack app in July 2017, the TV News Archive began making the underlying data available to the media, researchers, and the public in September 2017. A new set of Face-o-Matic faces debuted in May 2018 (See...
favorite ( 1 reviews )
Topics: television, face-o-matic, AI, TV News Archive, face detection
68
68
Jul 31, 2019
07/19
by
@IASET
texts
eye 68
favorite 0
comment 0
Human emotions are different mental states of feelings that arise naturally rather than through conscious attempt and are followed by physiological alters in facial muscles which imply different expressions on the face. Some of the emotions are a surprise, sad, fear, anger, happy, etc. Emotion gives us a clue about the state of a person and enables to make conversation with the other person based on their mood. Facial expression plays an important role in non-verbal communication between...
Topics: Convolution Neural Network (CNN), Face Detection, Facial Emotions, Facial Expressions
From the last two decades, face recognition is playing an important and vital role especially in the field of commercial, banking, social and law enforcement area. It is an interesting application of pattern recognition and hence received significant attention. The complete process of face recognition covers in three stages, face detection, feature extraction and recognition. Various techniques are then needed for these three stages. Also these techniques vary from various other surrounding...
Topics: Face Recognition, Face Detection methods, Feature Extraction techniques, Electronics &...
Topics: olympus, lcd, megapixel, shakeproof, detection, lens, black, camera, optical, face, face detection
29
29
texts
eye 29
favorite 0
comment 0
The effective real-time face detection framework proposed by Viola and Jones gained much popularity due its computational efficiency and its simplicity. A notable variant replaces the original Haar-like features with MBLBP (Multi-Block Local Binary Pattern) which are defined by the local binary pattern operator, both detector types are integrated into the OpenCV library. However, each descriptor and its evaluation method has its own set of strengths and setbacks. In this paper, an enhanced...
Topics: Face Detection, Machine Learning, Boosting, Real-Time Systems, LEBANON, Haar, MB-LBP
218
218
Jan 13, 2014
01/14
by
Reza Azad
texts
eye 218
favorite 0
comment 0
Human face perception is currently an active research area in the computer vision community. Skin detection is one of the most important and primary stages for this purpose. So far, many approaches are proposed to done this case. Near all of these methods have tried to find best match intensity distribution with skin pixels based on popular color spaces such as RGB, HSI or YCBCR. Results show that these methods cannot provide an accurate approach for every kind of skin. In this paper, an...
Topics: Face Detection, Image Processing, Threshold tuning, Gaussian Model feature extraction, ijorcs,...
240
240
texts
eye 240
favorite 0
comment 0
Human face detection is a significant problem of image processing and is usually a first step for face recognition and visual surveillance. This paper presents the details of face detection approach that is implemented to achieve accurate face detection in group color images which are based on facial feature and Support Vector Machine. In the first step, the proposed approach quickly separates skin color regions from the background and from non-skin color regions using YCbCr color space...
Topics: Face Detection, Skin Color Detection, Wavelet Transform, Discrete Cosine Transform, Support Vector...
The importance of embedded applications on image and video processing domain has been taking a larger space. The image processing is the study of several algorithms that takes an image as input and returns an image as output. Specially we would like to elaborate our experience on the significance of computer vision as one of the domains where hardware implemented algorithms executes far better than those implemented from end to end software. Face detection is becoming one of the maximum...
Topics: Face detection, Haar-like features, Morphological image processing, Contrast limited adaptive...
Viola– Jones object detection frameworkintroduced in 2001 by Dr. Paul Viola and Dr. Michael Jones is an object detection framework which can be trained for detecting a variety of object classes .It is primarily used for the problem of face detection.In most video recording or surveillance systems it became impossible for human beings to retrieve large image datasets and analyze them for potential results. Now a days accurate facial recognition has a great impact in our ecosystem be it face...
Topics: haar-features, Viola Jones, Image Analysis, face detection, feature extraction, face edge detection
Face is a important part through which we can identify who we are and how people identify us. Face is a person's most valuable and unique physical characteristics through which we can identify someone very easily. While humans have the innate ability to distinguish the different faces for millions of years for adding the new technology computers are just now catching up. A face recognition system is a computer application that is capable of identifying or verifying the person from a digital...
Topics: Thermal cameras, Principle Component analysis, Eigen faces Face detection, Face recognition,...
Attendance is important for university students. However, generic way of taking attendance in universities may include various problems. Hence, a face recognition system for attendance taking is one way to combat the problem. This paper will present an automated system that will automatically saves student’s attendance into the database using face recognition method. The paper will elaborate on student attendance system, image processing, face detection and face recognition. The face...
Topics: Face detection, Face recognition, Local Binary Pattern, Student’s attendance system, Viola-jones...
34
34
Jun 2, 2021
06/21
by
Maryam Mahmood Hussein, Ammar Hussein Mutlag, Hussain Shareef
texts
eye 34
favorite 0
comment 0
Face recognition has become one of the most important challenging problems in personal computer-human interaction, video observation, and biometric. Many algorithms have been developed in recent years. These algorithms are not sufficiently robust to address the complex images. Therefore, this paper proposes a soft computing algorithm based on face recognition. One of the most promising soft computing algorithms which is back-propagation artificial neural network (BP-ANN) has been proposed. The...
Topics: Back-propagation artificial neural network (BP-ANN), Face detection, Face recognition, Viola-Jones...
This paper presents a surveillance robot that performs face recognition using artificial intelligence (AI), controlled via an Android application for examining threats in its vicinity. The robot is capable of detecting humans in real time scenarios. The activity cycle of the robot is categorized in a number of tasks: Object Detection, Face Detection, Face Recognition, generation of alert signals to the user. The robot detects the human face based on Haar Cascade Algorithm using a camera module...
Topics: Robot, Face Recognition, Face Detection, Raspberry Pi, LBP algorithm, Haar Cascade Algorithm &...
142
142
Oct 24, 2015
10/15
by
Engineering
texts
eye 142
favorite 0
comment 0
This paper describes and evaluates intelligent robotic wheelchair mainly for quadriplegic patients. Each year huge number of people suffers with a spinal cord injury and approximately half of these injuries result in quadriplegia. The loss of personal mobility is one of the major life changes brought on by quadriplegia, mobility becomes a lifelong struggle. Quadriplegics rely on power wheelchairs for mobility, but the hands-free controller systems currently available are obtrusive and...
Topics: electric wheelchair control, eye blink sensor, face detection, face orientation recognition,...
114
114
Feb 26, 2019
02/19
by
Computerphile
movies
eye 114
favorite 0
comment 0
Deep learning is used for everything these days, but this face detection algorithm is so neat its still in use today. Dr Mike Pound on the Viola/Jones algorithm. Viola/Jones Paper: http://bit.ly/C_RapidObjectDetectPaper After detection you may want to ID the face: https://youtu.be/mwTaISbA87A Hardware Hacking: https://youtu.be/eOPLQxGNmHA EXTRA BITS: https://youtu.be/s2ciAt7KtZc https://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean...
Topics: Youtube, video, Education, computers, computerphile, computer, science, Computer Science,...
Face Detection is concerned with finding whether or not there are any faces in a given images. Security and surveillance are the two important aspects of human being. Face detection is very important because it is not being safe in human environment. So, Face Detection Security System is essential between individual in life. In the modern world everything is changed to provide a better life. So we were decided to develop the Real Time Face detection system. The importance of the face detection...
Topics: Electronics & Communication Engineering Haar classifier, Segmentation and Edge/Line Detection,...
Face is a complex multidimensional visual model and developing a computational model for face recognition is difficult. The paper presents a methodology for face recognition based on information theory approach of coding and decoding the face image. The goal is to implement the system model for a particular face and distinguish it from a large number of stored faces with some real-time variations as well. The Eigenface approach uses Principal Component Analysis PCA algorithm for the recognition...
Topics: Artificial Intelligence, Face recognition, face detection, Principal Component Analysis, Raspberry...
937
937
Dec 5, 2015
12/15
by
Engineering And Science
texts
eye 937
favorite 0
comment 0
The International Journal of Engineering & Science  is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be...
Topics: Face Recognition, Face Detection, AdaBoost, Local Binary pattern(LBP), Histogram of...
Internet of Things IoT conceptualizes the idea of remotely connecting and monitoring real world objects things through the Internet. When it comes to a house, this concept can be aptly incorporated to make it smarter, safer and automated. This project presents an approach to incorporate a two level biometric based security system in deploying Internet of Things IoT for smart home system, together with due consideration given to user convenience in operating the system using an android based...
Topics: Electronics & Communication Engineering, Smart Home, Home automation, Internet of Things,...
64
64
Feb 26, 2019
02/19
by
Computerphile
movies
eye 64
favorite 0
comment 0
Face detection isn't just about geometry. Associate Professor Dr Michel Valstar explains how Local Binary Patterns can be used to detect the edges in our features. NOTE: At 2mins7secs, Dr Valstar mistakenly says "9 by 9" when he means "3 by 3" Geometric Face Recognition: https://youtu.be/BCBZPtZCI7w EXTRA BITS: Faces & Edges: https://youtu.be/v-gkPTvdgYo Missing Data: https://youtu.be/oCQbC818KKU Chip & PIN Fraud: https://youtu.be/Ks0SOn8hjG8 Computer That Changed...
Topics: Youtube, video, Education, computers, computerphile, computer, science, Computer Science (Field Of...
230
230
Feb 25, 2019
02/19
by
Computerphile
movies
eye 230
favorite 0
comment 0
Unlocking a phone with a face? Why doesn't the phone need thousands of example pictures before it works? Dr Mike Pound explains how it might work... Face Detection: https://youtu.be/uEJ71VlUmMQ https://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: https://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com...
Topics: Youtube, video, Education, computers, computerphile, computer, computer science, University of...
Topics: mode, shutter, image, pixels, speed, metering, iso, priority, format, art, shutter speed, product...
From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AIM-1602
Topics: data, detection, svm, vector, algorithm, training, vectors, minimization, minos, optimality,...
From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AITR-1572
Topics: pattern, detection, target, face, patterns, image, gaussian, data, distance, learning, face...
From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AIM-1672
Topics: haar, coefficients, facial, detection, svm, mouth, wavelet, regression, subset, image, sparse...
Topics: lux, jenne, jpeg, panasonic, handset, sens, digital, outdoor, poe, lcd, progressive scan, host...
From the bitsavers.org collection, a scanned-in computer-related document. dec :: tech reports :: CRL-2001-1
Topics: detection, classifier, features, detector, image, false, cascade, classifiers, feature, integral,...
From the bitsavers.org collection, a scanned-in computer-related document. mit :: ai :: aim :: AIM-1521
Topics: face, distance, pattern, patterns, vector, image, canonical, detection, gaussian, metric, canonical...
A proof of concept conversion of a consumer micro-projector to short throw. The eventual purpose is to convert to IR light for spoofing public face recognition- but here I just go out for Halloween🎃 The tech: https://arxiv.org/pdf/1803.04683.pdf Prior art: https://youtu.be/SYIr7UDdNJA The micro projector: Vmai M100 Support my work (but only if you can without hardship)😘: ►SubscribeStar: https://www.subscribestar.com/naomi-wu ►Sther: https://www.sther.co/naomiwu ►Tipee:...
Topics: Youtube, video, Science & Technology, sexycyborg, shenzhen, China, Maker, Naomi Wu, facial...
8
8.0
Aug 12, 2018
08/18
by
D. W. Hansen; Q. Ji
data
eye 8
favorite 1
comment 0
Despite active research and significant progress in the last 30 years, eye detection and tracking remains challenging due to the individuality of eyes, occlusion, variability in scale, location, and light conditions. Data on eye location and details of eye movements have numerous applications and are essential in face detection, biometric identification, and particular human-computer interaction tasks. This paper reviews current progress and state of the art in video-based eye detection and...
Topics: biometrics (access control), computer vision, estimation theory, eye, face recognition, human...
Source: http://academictorrents.com/details/e5a2f435414faebcf45965689cc0e10c6c39704c
23
23
data
eye 23
favorite 0
comment 0
Detecting and Recognizing Faces in Python
Topics: Pyhon, Face Detection, AI, Coding
Source: torrent:urn:sha1:6e993a5eaea197e2d56083c0c9687969ca0a97ab
11
11
May 6, 2022
05/22
by
IRJASH Journal
texts
eye 11
favorite 0
comment 0
Face detection systems are growing exponentially. Newly emerged technologies are also being involved in the management applications. But they had failed to compensate at least anyone of the essential aspects of the system such as scalability, security, personalization, etc. This paper presents a fundamental platform that provides the ways and techniques to intelligently use the integration of Artificial Intelligence and Blockchain in which AI is used to detect and recognize the face and...
Topics: Blockchain Technology, Artificial Intelligence, Decentralization, Face Detection
126
126
texts
eye 126
favorite 0
comment 0
Face detection and Tracking are important research areas in the field of computer vision and image processing. Face detection is a computer technology that helps to determine the locations and size of the human faces. Face detection techniques are used in cameras for auto focus. Face detection and tracking are the two processes done by using various approaches.
Topics: Face Detection, Face Tracking, Fuzzy based particle filter
68
68
Mar 19, 2020
03/20
by
Nusirwan Anwar bin Abdul Rahman, Kit Chong Wei and John See
texts
eye 68
favorite 0
comment 0
Source: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.718.1964&rep=rep1&type=pdf DOI: 10.1.1.718.1964 ??
Topics: opencv, skin detection, skin, face detection, hsv, ycrcb, rgb
8
8.0
Apr 15, 2021
04/21
by
jon obsworth
movies
eye 8
favorite 0
comment 0
manchester 13th april the day after lockdown was eased streetart music people community sony bridge camera test audio face detection audio has 2 record settings voice and concert this was recorded in concert edited in FCPX
Topics: audio test, face detection test, sony cybershot bridge, camera test
165
165
Jun 22, 2017
06/17
by
Johannes Reschke
texts
eye 165
favorite 0
comment 0
Abstract —This contribution gives an overview of face recogni-tion algorithms, their implementation and practical uses. First, a training set of different persons’ faces has to be collected and used to train a face recognizer. The resulting face model can be utilized to classify people in specific individuals or unknowns. After tracking the recognized face and estimating the acoustic sound source’s position, both can be combined to give detailed information about possible speakers and if...
Topics: OpenCV, Sound Source Localization, Machine Learning, Face Recognition, Face Detection
