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.
Facial feature extraction is the process of extracting face component features like eyes, nose, mouth, etc from human face image. Facial feature extraction is very much important for the initialization of processing techniques like face tracking, facial expression recognition or face recognition. Among all facial features, eye localization and detection is essential, from which locations of all other...
In this paper, we evaluated two well-known QRS algorithms: Pan & Tompkins (PT) and based wavelet transform (WT) on an ECG stress test database. In the absence of an annotated ECG stress test database, the first stage of this work consisted of the database annotation, using RR-time series obtained from an eight leads stress database (DICARDIA). First, the system proposes to users a lead (reference...
Eye detection is a front end problem to be solved efficiently by face detection and human surveillance systems. Features such as accuracy and computational cost are to be considered for a successful approach. We describe an integrated approach that takes the ROIs outputted by a Viola and Jones detector, constructs HOGs features on those and learn an special function to mapping these features to a...
In this paper, we propose a method for automatic signature segmentation using hyper-spectral imaging. The proposed method first uses the connected component analysis and local features to segment the printed text and signatures. Secondly, it uses spectral response of text, signature, and background to extract signature pixels. The proposed method is robust, and remains unaffected by color and intensity...
Code smells represent well known symptoms of problems at code level, and architectural smells can be seen as their counterpart at architecture level. If identified in a system, they are usually considered more critical than code smells, for their effect on maintainability issues. In this paper, we introduce a tool for the detection of architectural smells that could have an impact on the stability...
Two sequential camera fingerprint detection methods are proposed. Sequential tests implement a log-likelihood ratio test in an incremental way, thus enabling a reliable decision with a minimal number of observations. One of our methods adapts Goljan et al.'s to sequential operation. The second, which offers better performance in terms of average number of test observations, is based on treating the...
Localizing heavily occluded human faces is a challenging problem in facial detection. Previous methods mainly employ sliding windows by determining whether windows include human faces. In this paper, we provide a novel segmentation-based perspective for heavily occluded face localization with deep convolutional neural networks (CNN). Our model takes an image as input without complicated pre-processing...
The recent popularity of smartphones causes significant increase of upskirt filming cases in many countries and regions. To search upskirt images in suspects' IT devices and block them on social media, an effective detector is demanded, but it is neglected by both academic and commercial communities. Three commercial pornographic image detectors and one detector distributed by the U.S. National Institute...
The ability to generate computationally compact ECG analysis algorithms is of interest in the field of wearable physiologic monitors. Such remote monitors necessarily have limited on-board energy storage and therefore lack the computational power and physical memory often required for academic study of physiologic waveforms. Herein we evaluate a set of algorithms with markedly different computation...
A query image based scene/image retrieval system is a system that analyzes the properties of a query image and identifies the class in which the image belongs and retrieves a number of images which are most alike and relevant to the query image. A scene/image classifier provides the first stage for this system. Scene classification is the process that analyzes the properties of various image features...
People counting systems have wide range of applications and it is a difficult task in image processing. Face detection techniques are widely used to count the presence of people in an image. In this paper we present a hybrid face detection method for people count by combining three efficient face detection methods - Normalized Pixel Difference (NPD) , haar classifier and haar classifier for profile...
We develop a graphical user interface for defining events in a framework for detecting high-level surveillance events from a video stream, as the language used for the events may be too complex for an ordinary user. The language is based on relational algebra extended by intervals, introducing operators whose temporal constraints are described using the well-known Allen's interval relationships. The...
In this paper, a comparison of the Choquet and Sugeno integrals is presented. The proposed methods enable the calculation of the Choquet and Sugeno integrals for combining multiple source of information with a degree of uncertainty. The methods are used to combine the modules output of a modular neural network for face recognition. In this paper, the focus is on aggregation operators that use measures...
Image sharpness is one of the most determining factors for image readability and scene understanding. How to accurately quantify it is a hot topic. This paper systematically validates a previously proposed index for full-reference image sharpness assessment (edge preservation ratio, EPR). Based on Gaussian blurring images in LIVE, CSIQ, TID2008 and TID2013 databases, we firstly evaluated EPR accuracy...
QRS detection plays a key role in processing, measurements and analysis of ECG signals. There is a recognized need for reliable and objective evaluation of their performances. This task becomes difficult taking into account multiple data source, different data storage formats as well as various execution environments and modes. The aim of this project was to develop an automatic, configurable and...
Humans are increasingly cooperating with machinery/robots in a high number of domains and under uncontrolled conditions. When persons are interacting with machinery, they are exposed to distraction/fatigue, which can lead to dangerous situations. The evaluation of individual's attention and fatigue levels is highly needed in such situations. This is an important measurement to avoid the interaction...
Interactive Voice Response System (IVRS) is an automated system which is multi-lingual and makes use of text-to-speech (TTS) technology. This paper describes the implementation of an Interactive Voice Response System personalized especially for students to obtain any information desired by them in a reliable and timely manner by just placing a normal call, thus being a building block of a smart city...
The current proliferation of mobile devices raises an important issue: that of intelligent authentication mechanisms based on sensors within handheld devices. On-line signatures can now be easily captured with the fingertip on mobile devices. We study the performance of on-line signature authentication systems on touchscreen-based mobile devices. Performance evaluations were carried out on the DooDB...
Cloud data centers today use visualization technologies to facilitate allocation of physical resources to multiple applications. As cloud data centers continue to grow in scale and complexity, effectively monitoring and identifying system anomalies is becoming a critical problem. Furthermore, due to complex dependencies between system components in a virtualized data center, a single cause of anomaly...
In this paper, we propose an automatic method of facial expressions recognition in static images using the high dimensional Local Binary Patterns (LBP). In this research some existing algorithms for face detection, facial landmarks localization, face normalization and recognition were combined and adopted for facial expressions classification. The novelty of the contribution lies in the application...
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.