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Estimating the initial background of a scene is a key prerequisite for several applications in video analytics. In this paper, we present a simple approach that takes into account spatio-temporal motion intensities while estimating the true background. We tested the algorithm on real video sequences from the Scene Background Initialization (SBI) benchmark dataset, and the results show that the algorithm...
Underwater vision can be severely degraded by the scattering media due to backscatter veiling and signal attenuation. In this paper, we focus on the case that the polarization effect of the object could not be neglected, and we propose a method for recovering the underwater image based on the transmittance correction, which transforms the transmittance for the low depolarized objects from negative...
Multicell cooperative processing (MCP) can overcome the detrimental effects of inter-cell interference (ICI). However, since mobile terminals (MTs) need to estimate and feed back channel state information (CSI) related to several cooperative base stations (BSs), reductions in CSI feedback overhead and delay are more demanding in MCP enabled networks. In this paper, a novel overlaid-pilot based CSI...
Owing to advanced technical progress in information and communication technology, computerized adaptive assessment becomes more and more important for the personalized learning achievement. According to the response data from the conventional test and three-parameter logistic (3PL) model of the item response theory (IRT), this paper combines IRT with fuzzy markup language (FML) for an adaptive assessment...
In this paper, we propose a method combining waveform optimization with radar cross section (RCS) estimation to improve the range-angle imaging performance for multi-input multi-output (MIMO) radar. For each range-angle bin, the transmitting waveforms are optimized by our approach based on the principle of minimizing the mean-square error (MSE), and then the RCS of the associated scatter is estimated...
This paper proposes a system on the basis of guidance information from music score and Bayesian harmonic model and a two-dimensional Hidden Markov (2D-HMM) states model with particle filtering to address the separation of single-channel polyphonic music source. It is showed in a large number of experiments that in recording and synthetic polyphonic music material, the informed separation method performs...
Extracting product aspects and their associated sentiments is one of the key tasks in sentiment analysis. Estimating the confidences of extracted aspects is important to ensure the performance. To tackle the issue, this paper proposes a two-step estimation method. Collocations of product features and opinion words are initially extracted through pattern bootstrapping. A criterion synthesizing two...
A rough energy landscape can be modeled by a potential function superimposed by another fast oscillating function. Modeling motion in such a rough energy landscape by a small noise stochastic differential equation with fast oscillating coefficients, we construct asymptotically optimal importance sampling schemes for the study of rare events. Standard Monte Carlo methods perform poorly for these kind...
Owing to factors such as test conditions and costs, the problem of small sample universally exists in the certification trial of missile weapon system. When using traditional frequency histogram law to estimate the priori distribution, the results are very sensitive to region step and inaccurate. To deal with the problem, the paper proposed one method of information distribution based soft histogram,...
QoS routing protocol has become a hot research spot. However, it is difficult to offer guaranteed QoS, such as bandwidth, delay and delay jitter. To solve this problem, we proposed a Delay-Minimized Routing protocol based on Bandwidth Estimation (DMR-BE) that incorporates an admission control scheme and a route decision scheme to meet the QoS requirement of bandwidth and real-time applications. Bandwidth...
This work deals with the direction of arrival (DOA) estimation of multiple radar targets present in the mainlobe of a rotating antenna using sparse signal reconstruction methods. We exploit knowledge of the antenna main beam pattern and the fact that the antenna mechanical scanning impresses an amplitude modulation on the signals backscattered by the targets. Having studied Basis Pursuit (BP) and...
Virtual view synthesis is an important technique for multi-view 3D display. This makes that multi-view images for 3D display can be created by only two-view images. An efficient virtual view synthesis method was proposed based on disparity map and image interpolation. An adaptive weight stereo matching approach was adopted to obtain the initial disparity map. Cross-checking technique was utilized...
Noise interferences and the lack of observation data are two main problems when implementing blind source separation. This paper introduces a BASS method which eliminates noise interferences, and meanwhile, uses sparse component analysis to fit the undetermined situation. Firstly, based on the BASS mathematical model including linear noise affixed, we built a probability distributed model of the sparse...
Naive Bayes Classifiers have been known with the advantages of high efficiency and good classification accuracy and they have been widely used in many domains. However, the classifiers need complete data. And the phenomenon of missing data widely exists in practice. Facing this instance, learning naive Bayes classifier and classification method with missing data are built in this paper. Compared with...
Particle degeneration is a key issue in the performance of a particle filter. In this paper we introduce genetic Monte Carlo into sampling process with the basic idea of solving particle degeneration by means of evolution thought. It is shown that the novel particle filtering framework can effectively eliminate particle degeneration and reduce its dependency on the particle validity. Furthermore,...
This paper presents a new adaptive beamforming algorithm for CDMA wireless communications. The algorithm is based on an array pattern synthesis technique and a simple direction of arrival estimation method. The former is to minimize the weighted squared-errors between the achieved pattern and a reference pattern and the latter is to estimate DOA roughly with simplicity. Although there is some tiny...
Multi-object tracking in monocular video sequence is a challenging work when objects are occluded and objects' number is unknown or varies during tracking. In this paper, a multi-object parallel tracking method is proposed based on Bayesian framework. First, our method is designed to avoid huge amount of computation as required in multi-object joint tracking method. Second, our method can explicitly...
Multiple objects tracking is an important and challenging issue, because of difficulties caused by variable number of objects and interaction of objects. In this paper, we present a distributed tracking approach based on Bayesian framework to avoid huge computational expenses involved in sampling from a joint state space. Single-object trackers easily suffer from false identities of objects after...
Articulated body motion tracking remains a challenge problem as its high-dimension and the dependence between the joint freedoms. In this paper we present a novel framework to achieve articulated body motion (walking in this paper) tracking by the use of pose-model based stochastic search algorithm which partitions the state space into two pars(pose and noise) and then processes recursively. Besides,...
Accurate estimation of the total project cost is important for project management. It can help an organization analyze the feasibility of a project and reduce the risk of project failure. In this paper, an ontology-based intelligent estimation agent, including a CMMI-based project planning ontology and a fuzzy cost estimation mechanism, is proposed for the total project cost estimation. The proposed...
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