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Face analysis is of great interest in the context of digital signage to understand soft biometric of a person. Among the others information gathered from a face, the age of a person is still an open challenging problem. Face representation takes an important role for real time age discrimination. LBP descriptor and the related variants (e.g., CLBP) have been demonstrated to obtain the state-of-the-art...
Audio event detection has been an active field of research in recent years. However, most of the proposed methods, if not all, analyze and detect complete events and little attention has been paid for early detection. In this paper, we present a system which enables early audio event detection in continuous audio recordings in which an event can be reliably recognized when only a partial duration...
Articulated hand pose recovery in egocentric vision is useful for in-air interaction with the wearable devices, such as the Google glasses. Despite the progress obtained with the depth camera, this task is still challenging with ordinary RGB cameras. In this paper we demonstrate the possibility to recover both the articulated hand pose and its distance from the camera with a single RGB camera in egocentric...
Highway agencies have gathered traffic data for a wide range of engineering and management purposes since the early days. Traffic summary statistics, such as annual average daily traffic (AADT) and design hourly volume (DHV), estimated from such data are the foundation of decision-makings related to the planning, design, operation and management of highway transportation system. Traditional factoring...
Within-Sample Choice Distribution and Sample size are important considerations in the estimation of logit model, but their effects on the estimation accuracy have not been systematically studied. Therefore, the objective of this paper is to provide an empirical examination to the above issues through a set of simulated choice datasets. In this paper, the utility function coefficients and alternative...
Applications that deal with time-series data often require evaluating complex statistics for which each time series is essentially one data point. When only a few time series are available, bootstrap methods are used to generate additional samples that can be used to evaluate empirically the statistic of interest. In this work a novel bootstrap method is proposed, which is shown to have some asymptotic...
We study the excess mean square error (EMSE) above the minimum mean square error (MMSE) in large linear systems where the posterior mean estimator (PME) is evaluated with a postulated prior that differs from the true prior of the input signal. We focus on large linear systems where the measurements are acquired via an independent and identically distributed random matrix, and are corrupted by additive...
Automatic facial expression classification is a challenging problem for developing intelligent human-computer interaction systems. In order to take into account the expression dynamics, existing works usually make the assumption that a specific facial expression is displayed with a pre-segmented evolution, i.e. starting from neutral and finishing on an apex frame. In this paper, we propose a method...
Distributed Phasor Measurement Unit (PMU) is a performing solution to measure synchrophasors in an IEC 61850 compliant scenario. The standard IEEE C37.118.2-2011, about data transfer of synchrophasor measurements, requires to give time quality information along with time stamped measurement data. In a distributed PMU, the time quality of the system depends on the capabilities of the Merging Unit (MU)...
Gaze movements play a crucial role in humancomputer interaction (HCI) applications. Recently, gaze tracking systems with a wide variety of applications have attracted much interest by the industry as well as the scientific community. The state-of-the-art gaze trackers are mostly non-intrusive and report high estimation accuracies. However, they require complex setups such as camera and geometric calibration...
We deal with the processing of multiview video acquired by the use of practical thus relatively simple acquisition systems that have a limited number of cameras located around a scene on independent tripods. The real-camera locations are nearly arbitrary as it would be required in the real-world Free-Viewpoint Television systems. The appropriate test video sequences are also reported. We describe...
Modelling of hysteresis in soft magnetic materials is necessary for accurate transient studies of transformers and electrical machines. The phenomena such as magnetization inrush currents and ferroresonance are directly resultants of the hysteresis properties. A proper model for numerical transient analyses should be easy regarding implementation and parameter estimation. In [1], authors introduced...
In this paper, we propose an architecture for autonomous indoor positioning system. In particular, we consider a system where motion sensors along with magnetometer and barometer are used to provide accurate positioning information even in environments without GNSS (Global Navigation Satellite System) coverage. We look more into implementation details of one particular block (step detection) on a...
We consider the problem of spatiotemporal sampling in an evolutionary process xn = Anx where an unknown operator A driving an unknown initial state x is to be recovered from a combined set of coarse spatial samples {χ|Ωο, x(1)|Ωι,· · ·, x(N)|ΩN}. In this paper, we will study the case of infinite dimensional spatially invariant evolutionary process, where the unknown initial signals x are modeled as...
There has been an exponential growth in brain mapping studies in the past decade using functional MRI (fMRI). Apart from simple fMRI studies from a single site (scanner), multi-site studies are gaining great attention, as it has the potential to provide more data for brain mapping studies, thereby increasing the statistical power of the brain mapping studies. Major limitations with the multi-center...
This paper utilizes system observability to guide monocular SLAM. Instead of providing all measured features then performing data-driven outlier rejection (such as with RANSAC), we propose to identify only the minimal subset of features which form an optimally observable SLAM subsystem for localization. Modeling the SLAM system as a discrete time system with piece-wise linear SE〈3〉 motion, complete...
Electrical distribution systems are usually poorly monitored networks with few measurement devices installed on the field. The significant changes affecting the distribution grids in last decades, mainly due to the increasing penetration of Distributed Energy Resources (DERs), call for a smarter monitoring and control of such networks. In this context, the accuracy of the electrical quantities provided...
The approximation of functions in many variables suffers from the so-called “curse of dimensionality”. Namely, functions on RN with smoothness of order s can be recovered at most with an accuracy of n−s/N applying n-dimensional spaces for linear or nonlinear approximation. However, there is a common belief that functions arising as solutions of real world problems have more structure than usual TV-variate...
Fingerprinting based localization is one of the most widely used indoor localization methods. This method is divided into two phases: during the off-line training phase, fingerprints within the area of interest are collected and stored in a fingerprint database; during the on-line mapping phase, the real-time location of a device is estimated by mapping itself to the most accurate fingerprint in the...
This paper presents a novel method to solve the estimation of the amplitudes and phases of different harmonic components contained in a power electrical signal, based on Particle Swarm Optimizer with Natural Selection (PSONS). PSONS is an Evolutionary Algorithm (EA) with the natural selection mechanism. The proposed method utilizes PSONS to estimate the phases of the harmonics and a standard least-square...
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