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.
Although light field data provides abundant cues for depth estimation, light field depth estimation suffers from occlusion and uncertain edges. In this paper, we propose occlusion robust light field depth estimation using segmentation guided bilateral filtering. First, we calculate refocused images from light field data using digital refocusing. Second, we perform support vector machines (SVM) classification...
Estimating speaker's physical parameters like height, weight and shoulder size can assist in voice forensics by providing additional knowledge about the speaker. In this work, statistics of the components of background GMM are employed as features in estimating the physical parameters. These features improved the performance of height and shoulder size estimation as compared to our earlier attempt...
Recently, Electroencephalogram (EEG) has become increasingly important in the role of psychiatric diagnosis and emotion recognition. However, many irrelevant features make it difficult to identify patterns accurately. Obtaining valid features from electroencephalogram can improve the classification and generalization performance. In this paper, an improved normalized mutual information feature selection...
This paper proposed a novel method to improve automatic age estimation from human faces. Three types of feature extraction algorithms are used, such as Extended Curvature Gabor Filter (ECG), Completed Local Binary Pattern (CLBP), and Local Directional Pattern (LDP). While the ECG is applied to the entire human face, CLBP and LDP are only applied to blocks with randomized scales, positions and orientations...
We consider the Similarity Sketching problem: Given a universe [u] = {0,..., u-1} we want a random function S mapping subsets A of [u] into vectors S(A) of size t, such that similarity is preserved. More precisely: Given subsets A,B of [u], define X_i = [S(A)[i] = S(B)[i]] and X = sum_{i in [t]} X_i. We want to have E[X] = t*J(A,B), where J(A,B) = |A intersect B|/|A union B| and furthermore to have...
In this paper we develop a fault detection and isolation method based on data-driven approach. Data-driven methods are effective for feature extraction and feature analysis using statistical techniques. In the proposal, the Cumulated Sum (CUSUM) efficiency is explored for incipient fault detection. The fault is assumed to be a Gain variation, an Offset evolution, a Phase shifting or one of the multiple...
There is a nonlinear relation between the blood glucose and photoplethysmography(PPG) signal. In order to estimate the blood glucose from the photoplethysmography signal, this paper presents a non-invasive blood glucose estimation using Near-Infrared spectroscopy based on the Support Vector Regression(SVR). The wavelet transform algorithm is used to remove baseline drift and smooth signals. 22 parameters,...
UAVs (Unmanned Aerial Vehicles) have been widely used in power line inspections, but low autonomous cruise capacity of UAVs requires strict condition for operators and site while landing during UAV power line inspections. This paper presents an autonomous landing control technique for UAVs when charging at the electric towers based on vision positioning method. The proposed system consists of three...
Job runtime estimates provided by users are widely acknowledged to be overestimated and runtime overestimation can greatly degrade job scheduling performance. Previous studies focus on improving accuracy of job runtime estimates by reducing runtime overestimation, but fail to address the underestimation problem (i.e., the underestimation of job runtimes). Using an underestimated runtime is catastrophic...
We have developed a fast distribution control method based on formula manipulation for low-resource environment like PLC (Programmable Logic Controller). The developed method consists of offline analysis and online optimization. In order to clarify the required specifications of implementation of the method, we analyzed the relationship between offline analysis result and online calculation time....
In this study, a new approach for estimation of Obstructive Sleep Apnea Syndrome (OSAS) was proposed. OSAS is a sleep disorder that affects the life comfortability in human life. Diagnosis of OSAS is usually done by expensive devices and specialist physicians. Since OSAS is serious, it should be diagnosed and treated early. In this study, a new feature extraction method is proposed for OSAS diagnosis...
In this study, it is aimed to design an automatic pattern recognition system for the detection of epilepsy which distinguishes healthy and seizure electroencephalography (EEG) signals. During the study, 100 EEG signals from patients were used during the opened eyes and healthy epileptic seizures. Each EEG signal consisting of 4096 samples was divided into 256 samples and a total of 3200 signals were...
Magnetic Resonance Imaging (MRI) is a means which is used to form cross-sectional pictures of internal organs using strong magnetic fields, radio waves, and field gradient. Previously some researches tried to predict the age of humans based on face images, DNA, medical images, speech signals, etc. In this paper, a method is proposed to predict the age of humans based on their MRI image. The main challenge...
The prediction of pedestrian movements, here referred as intention, is important to improve the autonomous vehicles' safety systems. Recognize it correctly helps to avoid traffic accidents, specially on low visibility areas, non-line-of-sight or hiding. This paper analyzes the use of movement information provided by an accelerometer carried by pedestrians. With real data extracted from a real experiment,...
On the aged society coming soon, many studies have explored homecare technologies. In this work, the activities at home are captured by a panoramic camera located at the center of a living room, and then analyzed and classified into standing, walking, sitting, falling, and watching television. First, the background subtraction scheme accompanied with shadow removal, and morphological operators of...
Face image of a human contains significant information in terms of gender, facial emotion, race, age and identity. Among these features, the age factor changes over the lifetime and highly affects the human face appearance. This paper proposes a new age estimation system to estimate the age of a human by his/her image. In the proposed method, Zernike Moments (ZM) are utilized for the first time and...
Crowd density estimation is an effective automated video surveillance technique to ensure crowd safety. In spite of various efforts being taken to estimate crowd density, it remains a challenging task. This paper proposes a new texture feature-based approach for the estimation of crowd density where two efficient texture features namely Local Binary Pattern (LBP) and Gabor Filter are used. The LBP...
We can extract useful information from social media data by adding the user's home location. However, since the user's home location is generally not publicly available, many researchers have been attempting to develop a more accurate home location estimation. In this study, we propose a method to estimate a Twitter user's home location by using weather observation data from AMeDAS. In our method,...
Degradation trend estimation of rolling bearing is widely applied in many engineering applications. With the rapid development of sensors, massive data will be acquired because of the monitoring of machinery. So how to extract and use the effective data from the big data for trend estimation has profound research value. The least square support vector machine (LSSVM), which is a kind of novel artificial...
In order to improve the separation performance of blind source separation, a sparse component analysis method based on support vector machine is proposed. Firstly, the sample points of the observed composite signals are selected by calculating the direction angle of the composite signal as standard to discard the interference points. And the selected sample points are trained using support vector...
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.