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Discriminative correlation filters (DCFs) have been shown to perform superiorly in visual tracking. They only need a small set of training samples from the initial frame to generate an appearance model. However, existing DCFs learn the filters separately from feature extraction, and update these filters using a moving average operation with an empirical weight. These DCF trackers hardly benefit from...
Videos taken in the wild sometimes contain unexpected rain streaks, which brings difficulty in subsequent video processing tasks. Rain streak removal in a video (RSRV) is thus an important issue and has been attracting much attention in computer vision. Different from previous RSRV methods formulating rain streaks as a deterministic message, this work first encodes the rains in a stochastic manner,...
Visual object tracking is a fundamental and time-critical vision task. Recent years have seen many shallow tracking methods based on real-time pixel-based correlation filters, as well as deep methods that have top performance but need a high-end GPU. In this paper, we learn to improve the speed of deep trackers without losing accuracy. Our fundamental insight is to take an adaptive approach, where...
In this work we present a unified Brownian motionbased model for the dispersion in the RF spectrum of oscillators due to the phase and frequency noise processes. A novel analysis of the spectral dispersion due to random-walk frequency noise will be presented that shows the possibility of the existence of satellite peaks around the mainlobe of the RF spectrum, along with time-varying spectral broadening...
This study aims to apply the synergy of human hand fingers in a robotic hand. Linear regression was used to study the movements. The work contributes to defining robotic models similar to human synergy. As a result an algorithm was obtained that applies the necessary movements in the robotic hand so that it reproduces movements similar to those of the human hands.
GPS is a widely-used locating technology. However, since satellite signal cannot penetrate buildings, different signal resources, such as Bluetooth and Wi-Fi, are necessary for conducting indoor positioning. In this research, we consider the positioning of indoor Wi-Fi APs basing on users' acquired signals. Our scheme “Indoor AP Positioning(IAP)” is composed by three steps: (1) Centrifugal Direction(CD)...
A novel method for personalized tweet recommendation based on Field-aware Factorization Machines (FFMs) with adaptive field organization is presented in this paper. The proposed method realizes accurate recommendation of tweets in which users are interested by the following two contributions. First, sentiment factors such as opinions, thoughts and feelings included in tweets are newly introduced into...
Aging of transformer occurs as the transformer operates. Dielectric characteristics testing of oil insulation in transformers is needed to estimate the condition of transformers due to aging. Insulating materials in long-term operations will degrade gradually and cause the change of its properties. In this paper, a database of result for dielectric characteristics was analyzed statistically using...
In this paper we propose a new solution to the problem of tracking multiple speakers from multiple microphone arrays in a reverberant acoustic environment. The acoustic environment with its complex reflection patterns with its underlying data association uncertainty pose the two most significant challenges in the multi-speaker tracking problem. We provide an approach that employs individual Time Difference...
Monitoring energy consumption and diagnosing abnormal behavior will enable utilities to introduce strategies to improve system resiliency, stability, and to meet energy efficiency targets. The deployment of advanced metering infrastructure (AMI) enables utilities to collect various raw data from its customers and networks. This paper presents contextual anomaly detection algorithm to detect irregular...
As a state-of-the-art ensemble method, random forest which exhibits a good ability to predict and generalize on various dataset is often composed of a large number of trees. Redundancy of ensemble and connotative decision rules result in expensive operational costs as well as difficulties in comprehension. In this paper, novel leaf node-level pruning methods for random forest are proposed. Each leaf...
To ensure that people can supplement enough water at the right time, an initiative service method based on intention understanding for drinking service robot is proposed. Firstly, individual factors and environmental factors which are associated with personal intentions are collected. Secondly, users' intention and desire degree for intention are obtained by an improved Fuzzy-Context-specific Intention...
This paper reports an image-based localization for automated vehicle. The proposed method utilizes a mono-camera and a low-cost velocity and inertial sensor to estimate the vehicle pose. Image template matching is applied to provide a correlation distribution between the captured image and a vector structured digital map. A probability of the vehicle pose is then updated using the obtained correlation...
Network Function Virtualization is an emerging paradigm to allow the creation, at software level, of complex network services by composing simpler ones. However, this paradigm shift exposes network services to faults and bottlenecks in the complex software virtualization infrastructure they rely on. Thus, NFV services require effective anomaly detection systems to detect the occurrence of network...
The paper deals with an analytical model of the transmitter-blocking technique for mitigating short-time fades on free-space optical links. Due to the effect of atmospheric turbulence, the optical channel is characterized by received power fades in the order of tens of milliseconds, during which the transmitted data is lost. Under certain conditions, the propagation through turbulent channel is reciprocal,...
In the training of the radial basis function network (RBFN), feature selection and classifier design are two tasks commonly addressed in separated processes. The former is related to the number of input nodes, whereas the latter is associated with the design of the hidden layer. Hence, this paper presents an algorithm to train a RBFN based on differential evolution (DE), which simultaneously adjusts...
The objective of this work is to detect delay times between two ultrasonic signals, one of them considered as a reference and the other signal as the signal to be evaluated, using the wavelet transform, to indirectly estimate temperature changes. In this work the evaluation of 3 types of wavelets (Morlet, Mexican Hat and Daubechies 5) was made to detect the delay time in echo ultrasonic signals which...
With the rising popularity of smartphones and the rapid growth of mobile applications, understanding the app usage behavior of mobile users is of growing importance for both app designers and service providers. Different from previous studies mining the correlation between apps and physical world factors, e.g. location, time, etc., in this paper we focus on the interdependency among apps and try to...
Time Difference Of Arrival (TDOA) method is very often used inside electronic intelligence systems. TDOA method requires the high signal to noise ratio at the output of the intermediate frequency amplifier for target localization, usually around 12 dB or more. At low signal-to-noise ratio TDOA is inaccurate and especially in case of the active jamming it is nearly impossible. The multilateral TDOA...
The worldwide distribution of IPv4 addresses is highly non-uniform. The factors that contribute to IPv4 address resources owned by a country remain unknown. In this paper, we systematically study the relationship between the number of allocated IPv4 addresses and 30 factors extracted from political, economic, ecological, social, and cultural dimensions. We observe that GDP has the largest influence...
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