The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper describes a new prototype system for detecting the demeanor of patients in emergency situations using the Intel RealSense camera system [1]. It describes how machine learning, a support vector machine (SVM) and the RealSense facial detection system can be used to track patient demeanour for pain monitoring. In a lab setting, the application has been trained to detect four different intensities...
Face recognition in video surveillance is challenging as there is no control on the quality of the face image captured especially under uncooperative situations with head pose variation, occlusion, and low-quality image. These issues create large discrepancy between probe and gallery images which affects the performance of recognition. To overcome these issues, pose correction is proposed to narrow...
In recent decades, interest in capturing human face movements and identifying expressions for the purpose of generating realistic facial animations has increased in both the scientific community and the entertainment industry. We present a modular framework for testing algorithms used in performance-based facial animation. The framework includes the modules used in pipelines found in the literature...
Home automation has become increasingly popular, with new interconnected products being introduced on a regular basis. While the benefits of these devices are tantalizing, end users may not fully understand the complexities of setting up these devices, become frustrated with the process, or have incorrect installations. We performed an exploratory study to understand the barriers that they face in...
Attendance is an important part of classroom evaluation. This paper develops a university classroom automatic attendance system by integrating two deep learning algorithms MTCNN face detection and Center-Face face recognition. A large number of experimental results show that: (1) The system can record such three violations of classroom discipline for automatic attendance, that is absence, lateness...
Facial alignment involves finding a set of landmark points on an image with a known semantic meaning. However, this semantic meaning of landmark points is often lost in 2D approaches where landmarks are either moved to visible boundaries or ignored as the pose of the face changes. In order to extract consistent alignment points across large poses, the 3D structure of the face must be considered in...
Texture reconstruction is the last step of 3D reconstruction pipelines that makes 3D geometry models very impressive and beautiful. Once the 3D model is created through structure-from-motion, multi-view stereo and mesh reconstruction, real image based texture is mapped to the models. But it is not easy to generate high quality texture. There are many difficulties cause problems: the large number of...
Because visually impaired persons are not able to confirm the appearance of their own face, they are afraid of and uneasy about makeup. We have been developing a system that assists makeup application through verbal feedback according to the appearance of the user's face. The system encourages social communication by helping the user feel confident. In this paper, we introduce a new method of using...
Conventional studies on human behavior recognition have mainly focused on individual actions, including facial expressions and postures. However, most human behavior involves face-to-face interactions with other humans or objects, such as PCs. The previous work on recognizing face-to-face interaction focused on recognition of each group of humans engaged in conversation in an open space, which is...
This paper presents design and implementation of face tracking system using servo-motor-controlled Pan-Tilt visual system. The objective is to maintain the position of a tracked object at the center of frame window on the screen. A simple camera is used as visual sensor to obtain the face object's actual position. Combination of Viola-Jones and Template Matching algorithms are used for face detection,...
Head pose estimation from camera images is a computational problem that may influence many sociological, cognitive, interaction and marketing researches. It is especially crucial in the process of visual gaze estimation which accuracy depends not only on eye region analysis, but head inferring as well. Presented method exploits a 3d head model for a user head pose estimation as it outperforms, in...
High-quality custom-made 3D masks are increasing becoming a serious threat to face-recognition systems. This threat is driven, in part, by the falling cost of manufacturing such masks. Research in face presentation-attack detection (PAD) in general, and also specifically for 3D-mask based attacks, has mostly concentrated on imagery in the visible-light range of wavelengths (RGB). We look beyond imagery...
Virtual characters play a central role in populating virtual worlds, whether they act as conduits for human expressions as avatars or are automatically controlled by a machine as agents. In modern game-related scenarios, it is economical to assemble virtual characters from varying sources of appearances and motions. However, doing so may have unintended consequences with respect to how people perceive...
Nowadays there is a big interest in applying natural gesture communication language to various systems. There are several techniques on how to detect willed hand motion or recognize gestures by using different kind of sensors. RGB cameras can be used to detect hand, but it has a limited application. For example, hand detection can be particularly hard in some lighting conditions or in different skin...
This paper describes a face recognition-based people tracking and re-identification system for RGB-D camera networks. The system tracks people and learns their faces online to keep track of their identities even if they move out from the camera's field of view once. For robust people re-identification, the system exploits the combination of a deep neural network- based face representation and a Bayesian...
In many security systems, it is sufficient to monitor a certain territory with the same type of devices in such a way that each point of the territory falls into the coverage area of at least one device while minimizing the energy consumption of the devices. However, in some security systems, it is necessary to observe objects from a certain side. For example, to identify a person you need to see...
The system proposed in this paper is an innovative biometrie authentication platform for access control applications based face recognition. The vision system is based multisensor fusion combining catadioptric sensor (calibrated with a field of view of 360°) and a Pan Tilt Zoom camera (PTZ). It is able to detect and track moving objects with a high zoom level. The recognition process is based on detection...
In nowadays situation, the security forms the most important section of our lives. Security of the house or the near and dear ones is important to everybody. Home automation is an exciting area for security applications. This field has enhanced with new technologies such Internet of things (IoT). In IoT, every gadget behaves as a little part of an internet node and every node interact and communicate...
To prevent counterfeit face image on face presence system, we can use dual vision camera in face recognition system. Dual vision camera is used to produce detectable face images from two positions of the left lens and the right lens. Image retrieval at the two corners of the left lens and the right lens can produce a merged face image database of left lens face image and right lens face image. The...
For people with spoken and motoric disabilities, doing some basic daily activities will need some help from another people. Misunderstanding usually happen when people around them can not interpret their desire because of limit In this paper, an eye gaze tracking system will be built to operate the communication system. The processes which are used in this system, first the face and left eye area...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.