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.
In this paper research on a compact deep convolutional neural network (DCNN) architecture for age and gender estimation from facial images has been presented. The proposed solution was tested on the FERET and the Adience Benchmark databases. In the first case a 98.6% accuracy for gender and 86.4% for age estimation was obtained. For the Adience database, which contains images recorded in unconstrained...
Traffic congestion is a major concern in metropolitan areas and a quick congestion assessment of large-scale network is required for modern traffic management referred to as Intelligent Transport Systems (ITS). However, ITSs are facing the challenge of real-time storage, retrieval and processing of a vast amount of collected data over a large-scale network. Compressed sensing (CS) is an efficient...
The automatic age estimation systems from facial images are often very complex and difficult to achieve, because of the aging process complexity. Such a system can be used in security, man-machine interactions, and biometrics. Research in this field has advanced during the last years. This paper proposes an age estimation system based on the shape and gray level texture intensity, extracted from facial...
This paper deals with an online evaluation tool for application of electric vehicles for everyday utilization. The tool takes respect of the user defined range demands as well as the possible charging periods required due to the battery. In addition, customer parameters such as the load capacity and number of seats are taken into account. The tool is able to not only evaluate pure battery electric...
Eddy Current Testing (ECT) is a fast and effective method for detecting and sizing most of the default in conducting materials. The size estimation of an unknown defect from the measurement of the impedance variations is an important technique in industrial area. This paper considers to solve this problem by the novel combination of the Least Square Support Vector Machines (LS-SVM) and Finite Element...
The paper reports on the objective evaluation and comparison of the two noise estimation algorithms for noisy speech signals. Both algorithms are based on observation that local minima in noisy speech spectrogram are close to the power level of the noise signal. The first algorithm directly searches spectrogram for the local minima and those values use to update noise power spectrum density (psd)...
Image-based estimation of skin lesions is efficient sub-field of medical imaging. The objective of task is to achieve more proper assessment of treatment effects. A significant group of skin lesion detection methods makes use of spatial relationships in order to deliver features for image region. Recently, a few study advances have been made in this particular group of area-based methods. This paper...
More and more pedestrians own devices (as a smartphone) that integrate a wide array of low-cost sensors (camera, IMU, magnetometer and GNSS receiver). GNSS is usually used for pedestrian localization in urban environment, but signal suffers of an inaccuracy of several meters. In order to have a more accurate localization and improve pedestrian navigation and urban mobility, we present a method for...
Target localization and tracking have the inseparable connection. On the one hand, localization is the basis of tracking. On the other hand, tracking can provide localization with prior information to correct the error of localization to some extent. At the same time, making the monitoring area be the grid area can let the localization and tracking system easy to be applied to different monitoring...
An objective blur measure is crucial for a variety of image processing applications. Traditional researches concentrate on a model estimating the amount of spatial high frequency. However, human vision detects blurriness might be influenced by the texture of image contents. To address the important issue, this paper presents a new objective metric designed as both measuring the inherent smooth texture...
Localization, a process of determining the position of a blind node, can be used in various applications. Signal-strength localization provides a low-cost and lowpower solution to positioning. Signal-strength positioning approaches using fingerprinting or calibrated approaches require a time-consuming calibration phase. Existing selfcalibrating approaches, which do not require a priori calibration,...
We studied the feasibility of the use of iBeacons for position detection. We compared the precision achieved by two well-known algorithms, i.e. nearest neighbor and k-nearest beacon. The nearest neighbor algorithm showed lower average error distance, by 1.0 m, than the k-nearest beacon algorithm. We also found that both indoor position methods are not influenced by the difference in the measured rooms...
The article presents the results of signal analysis of the recorded singing voice samples. For that study the recorded samples of the “a-e-i-o-u” exercise is analysed. Some significant parameters describing voice have been estimated. Among the estimated parameters are: pitch, calculated with the use of autocorrelation method, values of the first five harmonics, set of parameters containing first five...
In biometric score level fusion, the scores are often assumed to be independent to simplify the fusion algorithm. In some cases, the “average” performance under this independence assumption is surprisingly successful, even competing with a fusion that incorporates dependence. We present two main contributions in score level fusion: (i) proposing a new method of measuring the performance of a fusion...
The estimated accuracy of an algorithm is the most important element of the typical biometrics research publication. Comparisons between algorithms are commonly made based on estimated accuracies reported in different publications. However, even when the same dataset is used in two publications, there is a very low frequency of the publications using the same protocol for estimating algorithm accuracy...
Image based indoor localization is an important problem with many useful application. This paper proposes an indoor localization system for performing fine localization and less latency with more priori information, including tile angel and the relative height between camera optical center and origin in reference coordinate system (RCS). The system is divided into two stages: offline stage and online...
Vision is the most important sense for humans and because of this human vision system we are able to see the 3D world around us with great clarity and are able to find out depth of each and every object. Many Active and Passive depth estimation techniques have been proposed which are capable of estimating depth of real world scene among which one of the passive method, stereo vision has been proven...
Indoor positioning technique has been attracting more and more attention in recent years. In this paper, we propose a multi-path profile fingerprinting localization system based on software defined radio (SDR) platform. The system initially calibrates the multi-path profile (MP) and received signal strength (RSS) information to construct a fingerprint database. In the online positioning phase, the...
This paper proposes a blur detection algorithm that is capable of detecting and quantifying the level of spatially-varying blur by integrating directional edge spread calculation, Just Noticeable Blur (JNB) and local probability summation. The proposed method generates a blur map indicating the relative amount of perceived local blurriness. We compare the proposed method with six other state-of-the-art...
In this paper, we propose a new divide-and-conquer based method, called fusion of multiple binary age-grouping-estimation systems, for human facial age estimation. Under a specific constraint, such as a given facial feature or classification/regression method, what is the better framework for age estimation? First we employ multiple binary-grouping systems for age group classification. Each face image...
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.