• Proceedings of the IEEK Conference
• /
• 1999.11a
• /
• pp.540-543
• /
• 1999

We propose a face tracking algorithm using skin-color based segmentation and a robust Hausdorff distance. First, we present L＊a＊b＊ color model and face segmentation algorithm. A face is segmented from the first frame of input video sequences using skin-color map. Then, we obtain an initial face model with Laplacian operator. For tracking, a robust Hausdorff distance is computed and the best possible displacement t. is selected. Finally, the previous face model is updated using the displacement t. It is robust to some noises and outliers. We provide an example to illustrate the proposed tracking algorithm in video sequences obtained from CCD camera.

• Proceedings of the Korean Society for Technology of Plasticity Conference
• /
• 2004.08a
• /
• pp.101-108
• /
• 2004

It is very important to diagnose state of knife and strip cutting face in real time in the side trimming process due to improvement of quality of trimming face. In this study, diagnosis system for knife and strip cutting face was developed. CCD camera was installed at the both side of strip in the entry of burr masher roll. This system offer to operator the diagnosis result that was analyzed image obtained from CCD camera. As a result, bad quality of trimming face is decreased below 1/10 and knife breakage is detected $100\%$.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.22 no.50
• /
• pp.323-332
• /
• 1999

In physiognomy, people's personality are judged by their types and features of the face, in Oriental medicine, types of the face is an important factor to judge whether one is falling ill or not. With the help of this kind of idea, we can assume that customers' preferences for automobile are different depending on their types and features of the face, and that it is also the case with their purchasing purpose. In addition, we think we can apply this physiognomical concept to marketing. The purpose of this study is analyzing people's difference of considering factors when buying automobiles and purchasing purpose according to their different types and features of the face. As a result, considering factors and purchasing purpose are different in proportion to sex, age, types and features of the face. When several more studies related to this study are performed, we expect that this study will be applied to marketing.

• Proceedings of the IEEK Conference
• /
• 2007.07a
• /
• pp.339-340
• /
• 2007

Face detection plays an important role in HCI and face recognition. In this paper, we propose a rotation-invariant real-time face detection algorithm for color images in complex background. It consists of four processing step: (1) motion detection, (2) skin color region filler, (3) Eyemap detector for rotated face, and (4) Adaboost face classifier. This system has been tested in in-door environments, such as office and achieves over 95% detection rate.

• Journal of Korea Society of Industrial Information Systems
• /
• v.19 no.5
• /
• pp.33-37
• /
• 2014

As personal information is utilized as an important user authentication means, a trustable certification means is being required. The face identification technology using characteristics of the personal face among several biometrics technologies is easy in extracting features. In this paper, we implement a face identification robot for unattended reception. The robot is performed by face identification. To assess the effectiveness of the robot, it was tested and experimental results show that the proposed method is applicable for unattended reception interface.

• The Journal of Korea Robotics Society
• /
• v.1 no.1
• /
• pp.66-72
• /
• 2006

In face recognition, learning speed of face is very important since the system should be trained again whenever the size of dataset increases. In existing methods, training time increases rapidly with the increase of data, which leads to the difficulty of training with a large dataset. To overcome this problem, we propose SVDD (Support Vector Domain Description)-based learning method that can learn a dataset of face rapidly and incrementally. In experimental results, we show that the training speed of the proposed method is much faster than those of other methods. Moreover, it is shown that our face recognition system can improve the accuracy gradually by learning faces incrementally at real environments with illumination changes.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.16 no.4
• /
• pp.67-74
• /
• 2020

As the information age develops, Online education and Non-face-to-face work are becoming common. Telecommuting such as tele-education and video conferencing through the application of information technology is also becoming common due to the COVID-19. Unexpected information leakage can occur online when the company conducts work remotely or holds meetings. A system to authenticate users is needed to reduce information leakage. In this study, there are various ways to authenticate remote access users. By applying burn authentication using a biometric system, a method to identify users is proposed. The method used in the study was studied the main component analysis method, which recognizes several characteristics in facial recognition and processes interrelationships. It proposed a method that can be easily utilized without additional devices by utilizing a camera connected to a computer by authenticating the user using the shape and characteristics of the face by using the PCA method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.10a
• /
• pp.266-267
• /
• 2021

Recently, the COVID-19 Pandemic is not an infectious disease-level disaster, but a complex disaster, making it difficult to respond with traditional disaster response management methods. As a result, experiencing psychological stress and trauma such as COVID-19 has emerged as a new social problem. In preemptively predicting and effectively responding to these psychological disasters and crises, the necessity and direction of non-face-to-face disaster psychological support using ICT technology in traditional services are discussed.

• International Journal of Computer Science & Network Security
• /
• v.24 no.8
• /
• pp.135-138
• /
• 2024

The elementary stage is of great importance in establishing and supporting students during the beginning of their school life. Therefore, the current study aims to explore the Saudi teachers' perspectives about online learning and its effectiveness on some students' skills. The sample consisted of 250 male and female elementary teachers from different Saudi regions, and they responded to an online questionnaire consisting of both open and closed items to investigate their perspectives on online learning and face-to-face learning. The results showed a great perception and awareness among male and female teachers about the advantages and disadvantages of online learning. In addition, the results show that elementary teachers prefer face-to-face learning because it is the most stable and avoids many of the disadvantages mentioned for online learning. From this point of view, the study emphasizes the importance of integrating the two types of learning and directing teachers' professional development practices towards enhancing and developing their digital skills.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.5
• /
• pp.497-502
• /
• 2022

Information delivery among young generation has a distinct tendency to prefer visual to text as means of information distribution and sharing recently, and it is natural to distribute information through Youtube or one-man broadcasting on Internet. That is, young generation usually get their information through this kind of distribution procedure. Many young generation are also drastic and more aggressive for decorating themselves very uniquely. It tends to create personal characteristics freely through drastic expression and attempt of face makeup, hair styling and fashion coordination without distinction of sex. Especially, face makeup becomes an object of major concern among males nowadays, and female of course, then it is the major means to express their personality. In this study, to meet the demands of the times, we design and implement the intellectual smart mirror application that efficiently retrieves and recommends the related videos among Youtube or one-man broadcastings produced by famous professional makeup artists to implement the face makeup congruous with our face shape, hair color & style, skin tone, fashion color & style in order to create the face makeup that represent our characteristics. We also introduce the AI technique to provide optimal solution based on the learning of user's search patterns and facial features, and finally provide the detailed makeup face images to give the chance to get the makeup skill stage by stage.