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Journal articles on the topic 'Viola-Jones object detection algorithm'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

Stevanović, Dušan. "OBJECT DETECTION USING VIOLA-JONES ALGORITHM." Knowledge International Journal 28, no. 4 (2018): 1349–54. http://dx.doi.org/10.35120/kij28041349d.

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In this paper it has been described and applied method for detecting face and face parts in images using the Viola-Jones algorithm. The work is based on Computer Vision Systems, artificial intelligence that deals with the recognition of two-dimensional or three-dimensional objects. When Cascade Object Detector script is trained, multimedia content is assigned for recognition. In this work the content will be in the form of an image, where the program will have the task of recognizing the objects in the images, separating the parts of the images in the head area, and on each discovered face, se

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Andryani, Nur Afny C. "Study of Viola Jones Face Detection on Color Image based on Skin Pigmentation Level." Jurnal Elektro dan Mesin Terapan 1, no. 1 (2015): 44–52. http://dx.doi.org/10.35143/elementer.v1i1.16.

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Automatic face detection has been very complex and challenging research topic due to the complexity of faces’ characteristics that is not rigid object. There have been many works on proposing robust algorithm on image detection. Many researcher use Viola Jones algorithm as their initial point and benchmark. The Viola-Jones face detection itself is the most popular and recent applicable algorithm that has been developed since 2004 by Paul Jones from Microsoft R&D and its co-inventor, Michael J. Jones from Mitsubishi R&D. Many previous works present the study on the Viola Jones algorithm

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Egorov, A. D. "Algorithm for optimization of Viola–Jones object detection framework parameters." Journal of Physics: Conference Series 945 (January 2018): 012032. http://dx.doi.org/10.1088/1742-6596/945/1/012032.

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Dheyaa Ismael, Khansaa, and Stanciu Irina. "Face recognition using viola-jones depending on python." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 3 (2020): 1513. http://dx.doi.org/10.11591/ijeecs.v20.i3.pp1513-1521.

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<p>In this paper, the proposed software system based on face recognition the proposed system can be implemented in the smart building or any VIP building need security interring in general, The human face will be recognized from a stream of pictures or video feed, this technology recognizes the person according to the specific algorithm, the algorithm that employed in this paper is the Viola–Jones object detection framework by using Python. The task of the proposed facial recognition system consists of two steps, the first one was detected the human face from live video using the webcame

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Patil, Santosh, N. Ramakrishnaiah, and S. Laxman Kumar. "Enhanced approach for face detection and identifying human body proportionality using v-jones algorithm." International Journal of Engineering & Technology 7, no. 4 (2018): 2374. http://dx.doi.org/10.14419/ijet.v7i4.14734.

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Manual analysis of pedestrians and crowds is often impractical for massive datasets of surveillance videos. Automatic tracking of humans is one of the essential abilities for computerized analysis of such videos. In this proposed work we use Viola jones method for detecting moving human object, next using same method we identify the Human anatomy body proportion to detect the whole human body. The final function is the skin color threshold using the HIS and YCbCr. The proposed method yields high accuracy, we conducted experimental analysis on different videos, achieved high accuracy in detecti

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Utami, Febiannisa, Suhendri Suhendri, and Muhammad Abdul Mujib. "Implementasi Algoritma Haar Cascade pada Aplikasi Pengenalan Wajah." Journal of Information Technology 3, no. 1 (2021): 33–38. http://dx.doi.org/10.47292/joint.v3i1.45.

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The large number of citizens in an organization makes the development of an attendance system or citizen detection in a place important in the running of work activities in the organization. Utilization of an IP Camera which is only used for regular monitoring without further detection of the needs of citizens in the organization made the development of personnel detection developed for monitoring the presence of personnel. With the development of a face detection system, it is hoped that the facial algorithm development system will be developed using an IP Camera. Face detection has been deve

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E. Widjaja, Andree, Hery Hery, and David Habsara Hareva. "The Office Room Security System Using Face Recognition Based on Viola-Jones Algorithm and RBFN." INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi 5, no. 1 (2021): 1–12. http://dx.doi.org/10.29407/intensif.v5i1.14435.

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The university as an educational institution can apply technology in the campus environment. Currently, the security system for office space that is integrated with digital data has been somewhat limited. The main problem is that office space security items are not guaranteed as there might be outsiders who can enter the office. Therefore, this study aims to develop a system using biometric (face) recognition based on Viola-Jones and Radial Basis Function Network (RBFN) algorithm to ensure office room security. Based on the results, the system developed shows that object detection can work wel

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A, Pavan Narayana, Janardhan Guptha S, Deepak S, and Pujith Sai P. "Smart Door / COVID-19 Face Mask Detection." International Journal of Innovative Technology and Exploring Engineering 10, no. 9 (2021): 87–92. http://dx.doi.org/10.35940/ijitee.i9369.0710921.

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January 27 2020, a day that will be remembered by the Indian people for a few decades, where a deadly virus peeped into a life of a young lady and till now it has been so threatening as it took up the life of 3.26 lakh people just in India. With the start of the virus government has made mandatory to wear masks when we go out in to crowded or public areas such as markets, malls, private gatherings and etc. So, it will be difficult for a person in the entrance to check whether everyone one are entering with a mask, in this paper we have designed a smart door face mask detection to check whether

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Santana Mantuano, Evelyn, Washington Xavier Garcia-Quilachamin, and Jorge Anchundia Santana. "A Systematic Review of Algorithms in People Images Detection Based on Artificial Vision Techniques for Energy Management in Air Conditioners." International Journal of Online and Biomedical Engineering (iJOE) 17, no. 01 (2021): 17. http://dx.doi.org/10.3991/ijoe.v17i01.17899.

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Over the years, the development of artificial intelligence has influenced the fact that the algorithms applied in video devices are renewed every day in their object detection area, such as pattern recognition for detecting an object, image, person. This research aims to identify the algorithms for detecting people's image through artificial vision, and its application focused on energy management in air conditioners. The following research questions were established: Q1: How many studies refer to algorithms based on detecting a person's image? Q2: How many studies refer to energy management i

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Chayadevi, M. L., Sujith Madhyastha, K. N. Nisarga, H. Charitha, and B. Susharan. "Automated Teller Machine Security with Image Processing and Machine Learning Techniques." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 4473–81. http://dx.doi.org/10.1166/jctn.2020.9100.

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There are many scenarios in society with thefts and crimes involved in Automated Teller Machines (ATM). These events are increasing day-by-day and which is also increasing the complexities on the crime investigation agencies. In order to deal with these situations, we have proposed an automated security method inside ATMs using image processing techniques which can alert the concerned authorities immediately whenever these types of situations arise. Hybrid method with Viola-Jones algorithm has been used for face recognition along with the Haar-cascade features. In the case of objects such as k

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Nair, Aishwarya Radhakrishnan, and Amol D. Potgantwar. "Masked Face Detection using the Viola Jones Algorithm: A Progressive Approach for less Time Consumption." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 6, no. 4 (2018): 4. http://dx.doi.org/10.3991/ijes.v6i4.9317.

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<p>The use of CCTV surveillance is today’s need in<br />public and private sector for ensuring security against terrorism<br />and robbery. Regular expressions are used to signify enormous<br />sets of motion attributes captured in video. The video vigilance<br />is popular system without using human interference to capture<br />important scenes. The motive of the work is to introduce automatic<br />revelation of masked objects in real time with a surveillance<br />camera. The main aim is to detect masked person automatically<br />in less t

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Usilin, Sergey, and Oleg Slavin. "Using of Viola and Jones Method to Localize Objects in Multispectral Aerospace Images based on Multichannel Features." E3S Web of Conferences 209 (2020): 03027. http://dx.doi.org/10.1051/e3sconf/202020903027.

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A new algorithm for localizing engineering objects on multispectral images based on the Viola and Jones method has been developed. The proposed algorithm uses multichannel features allowing to construct classifiers that are sensitive to features of joint brightness distribution and the brightness distribution in different channels. The algorithm described in the paper provides a precision value of 0.96 and a recall value of 0.99 in the problem of localizing oil storage tank images in a set of aerospace images. The proposed algorithm can be used for visual analytics and automatic detection of v

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Angadi, Sanjeevkumar, and Suvarna Nandyal. "Human Identification System Based on Spatial and Temporal Features in the Video Surveillance System." International Journal of Ambient Computing and Intelligence 11, no. 3 (2020): 1–21. http://dx.doi.org/10.4018/ijaci.2020070101.

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Human identification is the most significant topic in the bioinformatics field. Various human gait identification methods are available to identify humans, but detecting the objects based on the human gait is still a challenging task in the video surveillance system. Thus, an effective hybrid Bayesian approach is proposed for identifying the humans. The proposed hybrid Bayesian approach involves two stages as follows: the first stage is the human identification based on the object features, and the second stage is the human identification based on the spatial features. Initially, the videos ar

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Rajesh, Gogineni, Kolasani Ramchand, and V. V. "Still Face Image Object Detection using EV-Jones Algorithm." International Journal of Computer Applications 179, no. 1 (2017): 34–38. http://dx.doi.org/10.5120/ijca2017915848.

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Paidi, Zulfikri, Nurul Awanis Noor Shaarin, Nurzaid Muhd Zain, and Mahfudzah Othman. "Blinking Eyes Detection to Monitor Drowsy Drivers Due to Fatigue Using MATLAB Cascade Object Detector." Journal of Computing Research and Innovation 6, no. 4 (2021): 31–39. http://dx.doi.org/10.24191/jcrinn.v6i4.244.

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Road accidents are incidents that should be avoided. One of the contributing factors of road accidents occurrence is drowsiness while driving due to fatigue. In this project, fatigue and drowsiness of a person can be detected by looking at the eye area. Drowsy situations are dangerous especially when driving a vehicle over long distances. When a person starts to feel drowsy, the eyes will start to blink more frequently. This characteristic can be used to monitor a driver’s fitness level. In this project the Viola-Jones algorithm using MATLAB cascade object detector was used to detect the prese

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Gradolewski, Dawid, Dawid Maslowski, Damian Dziak, et al. "A Distributed Computing Real-Time Safety System of Collaborative Robot." Elektronika ir Elektrotechnika 26, no. 2 (2020): 4–14. http://dx.doi.org/10.5755/j01.eie.26.2.25757.

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Robotization has become common in modern factories due to its efficiency and cost-effectiveness. Lots of robots and manipulators share their workspaces with humans what could lead to hazardous situations causing health damage or even death. This article presents a real-time safety system applying the distributed computing paradigm for a collaborative robot. The system consists of detection/sensing modules connected with a server working as decision-making system. Each configurable sensing module pre-processes vision information and then sends to the server the images cropped to new objects ext

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Al-Anssari, Haitham Asaad, Ikhlas Abdel-Qader, and Maureen Mickus. "Monitoring System for Persons With Alzheimer's Disease via Video-Object Tracking." International Journal of Mobile Devices, Wearable Technology, and Flexible Electronics 9, no. 2 (2018): 18–36. http://dx.doi.org/10.4018/ijmdwtfe.2018070102.

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This article presents a framework for a food intake monitoring system intended for use with persons with Alzheimer's disease and other dementias. Alzheimer's disease has a significant impact on the individual's ability to perform their daily activities including eating. Providing assistance with feeding is a major challenge for caregivers, including a significant time commitment. We present a vision-based system that tracks moving objects, such as the hand, using a combined optical flow and skin region detection algorithms. Skin detection is implemented using two different methods. Hue, satura

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Dherya Bengani and Prof. Vasudha Bah. "Face Detection Using Viola Jones Algorithm." November 2020 6, no. 11 (2020): 131–34. http://dx.doi.org/10.46501/ijmtst061124.

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Face detection is one of the most widely researched topics in recent times and is at the helm of the computer vision technology. This paper aims to review and study in detail the implementation of Viola Jones algorithm to detect faces in Realtime. Viola Jones algorithm is reviewed first followed by its main steps which include Haar features, integral image and cascading classifiers.

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I., Ahmed, and Yasser A. "Face Gestures Detection using Improved Viola-Jones Algorithm." International Journal of Computer Applications 182, no. 47 (2019): 38–41. http://dx.doi.org/10.5120/ijca2019918719.

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Cherednyk, Oleksandr, and Elżbieta Miłosz. "Object recognition on video from camera to computer." Journal of Computer Sciences Institute 8 (November 30, 2018): 215–19. http://dx.doi.org/10.35784/jcsi.682.

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The goal is to determine the effectiveness of object detection in a video using the camera for the computer. In the course of work studied and described the main methods of recognition of objects in the image, namely the use of artificial neural networks and techniques of Viola-Jones. For the study, based on the method of Viola-Jones, implemented the application for object recognition in video, as this method is effective for solving this problem. With this application, a study was conducted to determine the effectiveness of the method of viola-Jones to detect objects in the video.

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Park, Byeong-Ju, and Jae-Heung Lee. "High Efficient Viola-Jones Detection Framework for Real-Time Object Detection." Journal of IKEEE 18, no. 1 (2014): 1–7. http://dx.doi.org/10.7471/ikeee.2014.18.1.001.

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Putta, Rohan, Gayatri N Shinde, and Punit Lohani. "Real Time Drowsiness Detection System using Viola Jones Algorithm." International Journal of Computer Applications 95, no. 8 (2014): 28–34. http://dx.doi.org/10.5120/16615-6459.

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Wang, Yi-Qing. "An Analysis of the Viola-Jones Face Detection Algorithm." Image Processing On Line 4 (June 26, 2014): 128–48. http://dx.doi.org/10.5201/ipol.2014.104.

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Putri, Rizka Eka, Tekad Matulatan, and Nurul Hayaty. "Sistem Deteksi Wajah Pada Kamera Realtime dengan menggunakan Metode Viola Jones." Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan 8, no. 1 (2019): 30–37. http://dx.doi.org/10.31629/sustainable.v8i1.526.

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In general, human are given the mind and mind to be able to determine or be able to didtinguish individuals who appear either human, animal, plant, and other objects that are known or unknown. And it is possible for human to recognize these object from their sight and from their brain memory. Especially on the human face, human can recognize whether the object is human or not human, and can recognize the object very well through his own eyes.face detection system in human becomes very important in the development of science of digital image processing. The research has been done with many adva

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Aashish, Kamath, and A. Vijayalakshmi. "Comparison of Viola-Jones And Kanade-Lucas-Tomasi Face Detection Algorithms." Oriental journal of computer science and technology 10, no. 1 (2017): 151–59. http://dx.doi.org/10.13005/ojcst/10.01.20.

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Face detection technologies are used in a large variety of applications like advertising, entertainment, video coding, digital cameras, CCTV surveillance and even in military use. It is especially crucial in face recognition systems. You can’t recognise faces that you can’t detect, right? But a single face detection algorithm won’t work in the same way in every situation. It all comes down to how the algorithm works. For example, the Kanade-Lucas-Tomasi algorithm makes use of spatial common intensity transformation to direct the deep search for the position that shows the best match. It is muc

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PNithish Sriman, K., P. Raj Kumar, A. Naveen, and R. Saravana Kumar. "Comparison of Paul Viola – Michael Jones algorithm and HOG algorithm for Face Detection." IOP Conference Series: Materials Science and Engineering 1084, no. 1 (2021): 012014. http://dx.doi.org/10.1088/1757-899x/1084/1/012014.

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B, Ramakrishna, and M. Sharmila Kumari. "Implementation of combined Viola-Jones and NPD Based Face Detection Algorithm." International Journal of Computer Sciences and Engineering 6, no. 6 (2018): 1518–22. http://dx.doi.org/10.26438/ijcse/v6i6.15181522.

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Kulkarni, Narayan, and Ashok V. Sutagundar. "Detection of Human Facial Parts Using Viola-Jones Algorithm in Group of Faces." International Journal of Applied Evolutionary Computation 10, no. 1 (2019): 39–48. http://dx.doi.org/10.4018/ijaec.2019010103.

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Face detection is an image processing technique used in computer system to detect face in digital image. This article proposes an approach to detect faces and facial parts from an image of a group of people using the Viola Jones algorithm. Face detection is used in face recognition and identification systems. Automatic face detection and recognition is most challenging and a fast-growing research area in real-time applications like CC TV surveillance, video tracking, facial expression recognition, gesture recognition, human computer interaction, computer vision, and gender recognition. For fac

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Khryashchev, V. V., A. A. Lebedev, and A. L. Priorov. "ENHANCEMENT OF FAST FACE DETECTION ALGORITHM BASED ON A CASCADE OF DECISION TREES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W4 (May 10, 2017): 237–41. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w4-237-2017.

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Face detection algorithm based on a cascade of ensembles of decision trees (CEDT) is presented. The new approach allows detecting faces other than the front position through the use of multiple classifiers. Each classifier is trained for a specific range of angles of the rotation head. The results showed a high rate of productivity for CEDT on images with standard size. The algorithm increases the area under the ROC-curve of 13% compared to a standard Viola-Jones face detection algorithm. Final realization of given algorithm consist of 5 different cascades for frontal/non-frontal faces. One mo

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Golański, Piotr, and Marek Szczekala. "The Analysis of the Possibility of Using Viola-Jones Algorithm to Recognise Hand Gestures in Human-Machine Interaction." Aviation Advances & Maintenance 40, no. 1 (2017): 109–44. http://dx.doi.org/10.1515/afit-2017-0004.

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AbstractThe article concerns the issue of applying computer-aided systems of the maintenance of technical objects in difficult conditions. Difficult conditions shall be understood as these in which the maintenance takes place in a specific location making it hard or even preventing from using a computer. In these cases computers integrated with workwear should be used, the so-called wearable computers, with which the communication is possible by using hand gestures. The results of the analysis of the usefulness of one of methods of image recognition based on Viola-Jones algorithm were describe

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Et. al., Nouria Kaream Khoorshed,. "Car Surveillance Video Summarization Based On Car Plate Detection." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 1132–44. http://dx.doi.org/10.17762/turcomat.v12i6.2431.

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Today, video is a common medium for sharing information. Navigating the internet to download a certain form of video, it takes a long time, a lot of bandwidth, and a lot of disk space. Since sending video over the internet is too costly, therefore video summarization has become a critical technology. Monitoring vehicles of people from a security and traffic perspective is a major issue. This monitoring depends on the identification of the license plate of vehicles. The proposed system includes training and testing stages. Training stage comprises: video preprocessing, Viola-Jones training, and

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Imanuddin, Imanuddin, Fachrid Alhadi, Raza Oktafian, and Ahmad Ihsan. "Deteksi Mata Mengantuk pada Pengemudi Mobil Menggunakan Metode Viola Jones." MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer 18, no. 2 (2019): 321–29. http://dx.doi.org/10.30812/matrik.v18i2.389.

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Computer Vision is one of the branches of Image processing science that allows a combination of human beings, such as identifying an object like an eye and taking a decision. Many of the face detection systems use the Viola Jones method as an object detection method. The method of Viola Jones is known by having high speed and accuracy because it is useful to combine several concepts such as (Haar Features, Integral Image, AdaBoost, and Cascade Classifier) into a major method for detecting objects. The programming language used in this study uses the MATLAB programming language to facilitate th

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Martinez, Pablo, and Martin Barczyk. "Implementation and optimization of the cascade classifier algorithm for UAV detection and tracking." Journal of Unmanned Vehicle Systems 7, no. 4 (2019): 296–311. http://dx.doi.org/10.1139/juvs-2018-0033.

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A number of vision-based algorithms designed to detect and track unmanned aerial vehicles (UAVs) from on board a second UAV have been researched, implemented, and experimentally validated over the last decade. However, the successful methods have tended to rely on characteristics such as color or shape, meaning they require the target UAV to have particular markings or geometries. This paper uses the Viola–Jones cascade classifier, a computer vision algorithm originally designed to detect human faces in video streams, and demonstrates its capability for detecting and tracking an arbitrary type

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Ramana, Lovedeep, Wooram Choi, and Young-Jin Cha. "Fully automated vision-based loosened bolt detection using the Viola–Jones algorithm." Structural Health Monitoring 18, no. 2 (2018): 422–34. http://dx.doi.org/10.1177/1475921718757459.

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Many damage detection methods that use data obtained from contact sensors physically attached to structures have been developed. However, damage-sensitive features such as the modal properties of steel and reinforced concrete are sensitive to environmental conditions such as temperature and humidity. These uncertainties are difficult to address with a regression model or any other temperature compensation method, and these uncertainties are the primary causes of false alarms. A vision-based remote sensing system can be an option for addressing some of the challenges inherent in traditional sen

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Lorena Br Ginting, Selvia, Hanhan Maulana, Riffa Alfaridzi Priatna, Deran Deriyana Fauzzan, and Devidli Setiawan. "Crowd Detection Using YOLOv3-Tiny Method and Viola-Jones Algorithm at Mall." International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) 2, no. 2 (2021): 13–22. http://dx.doi.org/10.34010/injiiscom.v2i2.5460.

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Indonesia is one of the countries affected by Covid-19 which is spreading quite fast. Lately, the surge in Covid19 cases in Indonesia is quite high, due to the lack of public awareness of the current health protocols, such as avoiding crowds and keeping a distance. The purpose of this study is to reduce crowds that occur in places with a high risk of crowding, for example in mall. Detection is done by using Closed Circuit Television (CCTV) in the mall and using the YOLOv3-Tiny method and the ViolaJones Algorithm to detect the crowd. To support the research, we use the method of literature stud

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AZMI, FADHILLAH, Amir Saleh, and N. P. Dharshinni. "Face Identification on Login Security Using Algorithm Combination of Viola-Jones and Cosine Similarity." JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING 4, no. 1 (2020): 203–11. http://dx.doi.org/10.31289/jite.v4i1.3885.

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Data security by using an alphanumeric combination password is no longer used, so it needs to be added security that is difficult to be manipulated by certain people. One type of security is the type of biometrics technology using face recognition which has different characteristics by combining the Viola-Jones algorithm to detect facial features, GLCM (Gray Level Co-occurrence Matrix) for extracting the texture characteristics of an image, and Cosine Similarity for the measurement of the proximity of the data (image matching). The image will be detected using the Viola-Jones algorithm to get

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Ibrahim, S., K. R. Jamaluddin, and K. A. F. A. Samah. "Security Authentication for Student Cards’ Biometric Recognition Using Viola-Jones Algorithm." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 1 (2018): 241. http://dx.doi.org/10.11591/ijeecs.v11.i1.pp241-247.

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The unauthorized access to the university entrance could be gained by only flashing a student card. This unsecure situation shows the loophole of security authentication in a university. In order to overcome this, a biometric recognition could be the most suitable candidate as it varies uniquely from one person to another. A study on student cards’ biometric recognition using Viola-Jones algorithm is presented as it is proven as a powerful algorithm in terms of superb detection rates and speed. It is done by comparing the facial structures and features between the student card’s image and the

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ANKITA, THAKUR, and RATHORE SAGAR SINGH. "MOUTH AND EYE DETECTION BASED DROWSY DRIVER WARNING SYSTEM USING VIOLA JONES ALGORITHM." i-manager’s Journal on Pattern Recognition 3, no. 3 (2016): 7. http://dx.doi.org/10.26634/jpr.3.3.12405.

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Alshifa, S. "Face Mask and Social Distancing Detection Using ML Technique." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 3218–22. http://dx.doi.org/10.22214/ijraset.2021.37021.

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Detecting Mask and Social Distance is our main motive in this project.Face detection plays important roles in detecting face mask. Face detection means detecting or searching for a face in an image or video. For face and mask detection we use viola jones algorithm or Haar cascade algorithm using Open CV. For social distancing we use YOLO algorithm. We have created a system which detect the face and then, it will detect nose and mouth to confirm that the person wear mask or not.

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Senjaya, Benny, Alexander A. S. Gunawan, and Jerry Pratama Hakim. "Pendeteksian Bagian Tubuh Manusia untuk Filter Pornografi dengan Metode Viola-Jones." ComTech: Computer, Mathematics and Engineering Applications 3, no. 1 (2012): 482. http://dx.doi.org/10.21512/comtech.v3i1.2447.

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Information Technology does help people to get information promptly anytime and anywhere. Unfortunately, the information gathered from the Internet does not always come out positive. Some information can be destructive, such as porn images. To mitigate this problem, the study aims to create a desktop application that could detect parts of human body which can be expanded in the future to become an image filter application for pornography. The detection methodology in this study is Viola-Jones method which provides a complete framework for extracting and recognizing image features. A combinatio

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Olmedo, Eric, Jorge de la Calleja, Alicia Morales-Reyes, et al. "A parallel approach for the training stage of the Viola-Jones face detection algorithm." Intelligent Data Analysis 21, no. 5 (2017): 1097–115. http://dx.doi.org/10.3233/ida-163114.

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Bendjillali, Ridha, Mohammed Beladgham, Khaled Merit, and Abdelmalik Taleb-Ahmed. "Improved Facial Expression Recognition Based on DWT Feature for Deep CNN." Electronics 8, no. 3 (2019): 324. http://dx.doi.org/10.3390/electronics8030324.

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Facial expression recognition (FER) has become one of the most important fields of research in pattern recognition. In this paper, we propose a method for the identification of facial expressions of people through their emotions. Being robust against illumination changes, this method combines four steps: Viola–Jones face detection algorithm, facial image enhancement using contrast limited adaptive histogram equalization (CLAHE) algorithm, the discrete wavelet transform (DWT), and deep convolutional neural network (CNN). We have used Viola–Jones to locate the face and facial parts; the facial i

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Usilin, S. A., O. A. Slavin, and V. V. Arlazarov. "Memory Consumption and Computation Efficiency Improvements of Viola–Jones Object Detection Method for Remote Sensing Applications." Pattern Recognition and Image Analysis 31, no. 3 (2021): 571–79. http://dx.doi.org/10.1134/s1054661821030238.

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Ganakwar, Deepali G. "Comparative Analysis of Face Detection Methods based on Viola-Jones Algorithm and YCgCr Color Space." International Journal for Research in Applied Science and Engineering Technology 7, no. 11 (2019): 444–48. http://dx.doi.org/10.22214/ijraset.2019.11072.

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Irgens, Peter, Curtis Bader, Theresa Lé, Devansh Saxena, and Cristinel Ababei. "An efficient and cost effective FPGA based implementation of the Viola-Jones face detection algorithm." HardwareX 1 (April 2017): 68–75. http://dx.doi.org/10.1016/j.ohx.2017.03.002.

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Soni, Laxmi Narayan, Dr Ashutosh Datar, and Shilpa Datar. "Viola-Jones Algorithm Based Approach for Face Detection of African Origin People and Newborn Infants." International Journal of Computer Trends and Technology 51, no. 2 (2017): 75–81. http://dx.doi.org/10.14445/22312803/ijctt-v51p112.

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Murthy, Chinthakindi Balaram, Mohammad Farukh Hashmi, Neeraj Dhanraj Bokde, and Zong Woo Geem. "Investigations of Object Detection in Images/Videos Using Various Deep Learning Techniques and Embedded Platforms—A Comprehensive Review." Applied Sciences 10, no. 9 (2020): 3280. http://dx.doi.org/10.3390/app10093280.

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In recent years there has been remarkable progress in one computer vision application area: object detection. One of the most challenging and fundamental problems in object detection is locating a specific object from the multiple objects present in a scene. Earlier traditional detection methods were used for detecting the objects with the introduction of convolutional neural networks. From 2012 onward, deep learning-based techniques were used for feature extraction, and that led to remarkable breakthroughs in this area. This paper shows a detailed survey on recent advancements and achievement

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Hernández-Aceituno, Javier, Leopoldo Acosta, and José D. Piñeiro. "Pedestrian Detection in Crowded Environments through Bayesian Prediction of Sequential Probability Matrices." Journal of Sensors 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/4697260.

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In order to safely navigate populated environments, an autonomous vehicle must be able to detect human shapes using its sensory systems, so that it can properly avoid a collision. In this paper, we introduce a Bayesian approach to the Viola-Jones algorithm, as a method to automatically detect pedestrians in image sequences. We present a probabilistic interpretation of the basic execution of the original tool and develop a technique to produce approximate convolutions of probability matrices with multiple local maxima.

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M, Kavitha, Mohamed Mansoor Roomi S, K. Priya, and Bavithra Devi K. "State model based face mask detection." International Journal of Engineering & Technology 7, no. 2.22 (2018): 35. http://dx.doi.org/10.14419/ijet.v7i2.22.11805.

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The Automatic Teller Machine plays an important role in the modern economic society. ATM centers are located in remote central which are at high risk due to the increasing crime rate and robbery.These ATM centers assist with surveillance techniques to provide protection. Even after installing the surveillance mechanism, the robbers fool the security system by hiding their face using mask/helmet. Henceforth, an automatic mask detection algorithm is required to, alert when the ATM is at risk. In this work, the Gaussian Mixture Model (GMM) is applied for foreground detection to extract the region

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Mutneja, Vikram, and Satvir Singh. "Modified Viola–Jones algorithm with GPU accelerated training and parallelized skin color filtering-based face detection." Journal of Real-Time Image Processing 16, no. 5 (2017): 1573–93. http://dx.doi.org/10.1007/s11554-017-0667-6.

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