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Very High Resolution (VHR) multitemporal images show a residual misalignment even after applying effective state of the art co-registration. This residual misalignment is caused by the dissimilarities of the acquisition circumstances such as off-nadir angle of the sensor, stability of the acquisition platform, structure of the considered scene, and so on. This paper aims at mitigating the residual...
The detection of groups of people is attracting the attention of many researchers in diverse fields, with a growing number of approaches published each year; despite this, the evaluation metrics are not consolidated, with some measures inherited from the people detection fields, other ones designed specifically for a particular approach, generating a set of not comparable figure of merits. Moreover,...
Active triangulation has been successfully applied in numerous applications such as distance measurement, profile inspections and pose estimation in robotics. Its accuracy depends on many factors with locating laser centroid being one of them. The error generated in locating the laser centroid within the image is propagated to the system output with consequences in decreasing performance. In this...
This paper shows part of the work carried out to develop parallel versions of the SLICOT routines for model reduction of stable systems. In particular, the routines that have been parallelised are those based on the solution of Lyapunov equations. The goal is to be able to work with larger unreduced models and also to obtain better performance in the reduction process. New routines have been developed...
Two dimensional target localization using AOA measurements is considered in this paper. By conducting repeated experiments, the complex AOA (CAOA) method found that for the two-sensor and single-target scenario, the accuracy of the intersection of two bearing lines can be divided into different layers. However, the experiments are very time consuming. Also, the division of the intersection region...
We present a graph matching refinement framework that improves the performance of a given graph matching algorithm. Our method synergistically uses the inherent structure information embedded globally in the active association graph, and locally on each individual graph. The combination of such information reveals how consistent each candidate match is with its global and local contexts. In doing...
The upcoming arrival of high dynamic range image and video applications to consumer electronics will force the utilization of floating-point numbers on them. This paper shows that introducing a slight modification on classical floating-point number systems, the implementation of those circuits can be highly improved. For a 16-bit numbers, by using the proposed format, the area and power consumption...
In this paper we introduce a new video description framework that replaces traditional Bag-of-Words with a combination of Fisher Kernels (FK) and Vector of Locally Aggregated Descriptors (VLAD). The main contributions are: (i) a fast algorithm to densely extract global frame features, easier and faster to compute than spatio-temporal local features; (ii) replacing the traditional k-means based vocabulary...
Microsoft Kinect had a key role in the development of consumer depth sensors being the device that brought depth acquisition to the mass market. Despite the success of this sensor, with the introduction of the second generation, Microsoft has completely changed the technology behind the sensor from structured light to Time-Of-Flight. This paper presents a comparison of the data provided by the first...
Mobile image retrieval and pairwise matching applications pose a unique set of challenges. As communicating large amount of data could take tens of seconds over a slow wireless link, MPEG defined the CDVS standard to transfer over the network only the data essential to the matching, and not the entire image. However, the extraction of salient image features is a very time consuming process, and it...
Random Forest is a well-known ensemble learning method that achieves high recognition accuracies while preserving a fast training procedure. To construct a Random Forest classifier, several decision trees are arranged in a forest while a majority voting leads to the final decision. In order to split each node of a decision tree into two children, several possible variables are randomly selected while...
“Road rage” has been a concern to traffic safety and management authorities. In order to provide an effective detection of angry driving behavior, it is necessary to provide a method for discriminating angry driving from normal. Thirty professional drivers were recruited for conducting on-road experiments in Wuhan, China. The drivers were required to finish the experiment within 110 minutes and their...
A typical floating-point environment includes support for a small set of about 30 mathematical functions such as exponential, logarithm, trigonometric and hyperbolic functions. These functions are provided by mathematical software libraries (libm), typically in IEEE754 single, double and quad precision. This article suggests to replace this libm paradigm by a more general approach: the on-demand generation...
In this paper, we propose a level-set based method to identify urban areas using multitemporal Synthetic Aperture Radar (SAR) data. Our method is compared to the standard method, called the Otsu's threshold-based method. The experimental results indicate significant improvement in terms of the Kappa coefficients and the percentage of correctly classified pixels.
Service functionality can be provided by more than one service consumer. In order to choose the service which creates the most benefit before its consumption, a selection based on previous measurable experiences by other consumers is beneficial. In this paper, we present the results of our analysis of two machine learning approaches to predict the best service within this selection problem. The first...
The paper describes the development of a Hardware-in-the-Loop (HIL) test platform for the performance assessment of a PMU-based sub-second linear Real-Time State Estimator (RTSE) for Active Distribution Networks (ADNs). The estimator relies on the availability of data coming from Phasor Measurement Units (PMUs) and can be applied to both balanced and unbalanced ADNs. The paper first illustrates the...
In this paper, we propose a framework to recognize complex human interactions. First, we adopt trajectories to represent human motion in a video. Then, the extracted trajectories are clustered into different groups (named as local motion patterns) using the coherent filtering algorithm. As trajectories within the same group exhibit similar motion properties (i.e., velocity, direction), we adopt the...
In this study, tennis ball rotation and trajectory are analyzed quantitatively. Fourteen dots are marked on a tennis ball to detect the ball rotation, and the markers' x−y positions are detected from high-speed camera images. First, the 3-D positions of the markers are calculated. Then, the rotation matrix is calculated by using the 3-D marker positions of successive camera frames. The rotation parameters,...
This paper presents the design and implementation of a novel user-initiated indoor localization system called QiLoc. QiLoc is a simple yet effective way to accurately locate and identify occupants of Qi-compatible devices inside buildings. The system is composed of QiLoc Stations and a QiLoc Server. A QiLoc Station is usually embedded inside or under a desk/table. By using the Qi wireless charging...
Local Binary Pattern (LBP) is a simple yet robust texture descriptor that has been widely used in many computer vision applications including face recognition. In this paper, we exploit LBP for handwritten Bangla numeral recognition. We classify Bangla digits from their LBP histograms using K Nearest Neighbors (KNN) classifier. The performance of three different variations of LBP - the basic LBP,...
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