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A novel information fusion method for solving the automated registration problems was proposed. The main information sources include the global optical flow field and feature extracted from images. Our primary contribution is an improved estimation algorithm for computing the optical flow field using anisotropic diffusion. Moreover, we show that the registration process can be consolidated through...
There is a sort of dynamic system with multiple sensors, which are usually used to measure the same target and possess different sampling frequency and characteristic. To fuse the data arising from these sensors in this dynamic system, the new concept irregular tree is put forward, a new multiscale representation is presented by use of the Markov statistical characteristics in most phenomena or processes,...
The purpose of image fusion is to combine information from several different source images to one image, which becomes reliable and much easier to be comprehended by people. Based on analyzing the relations of average and standard deviation of the two or more source images, a new strategy to improve image fusion effect and a new evaluation measure named RAS (the ratio between average and standard...
A learning method by recording cases based on an evaluation system for vessel collision avoidance is presented in this paper. The frame model is selected and defined as the case representation method. The basic structure and several processing modules of the evaluation system are discussed. Data fusion methods are used in the system. During processing of the learning case, fuzzy method is also adopted...
In this paper, a new image fusion method based on M-band wavelet is proposed. M-band wavelet transform domain has its superiority to 2-band wavelet transform domain in energy compaction and direction selection. Considering both the multi-scale-multi-direction information and the correlation property in M-band wavelet domain, an image fusion scheme based on cross-band-window is brought forward. The...
In manufacturing processes it is very important that the condition of the cutting tool, particularly the indications when it should be changed, can be monitored. Cutting tool condition monitoring is a very complex process and thus sensor fusion techniques and artificial intelligence signal processing algorithms are employed in this study. The multi-sensor signals reflect the tool condition comprehensively...
In order to decrease the impact of environmental temperature on pressure transducer measurements with temperature compensation, a new method of data fusion based on radial basis function (RBF) neural network was proposed, at the same period, a practical test was carried out with the environmental temperature ranging from 10 to 60 degC and the pressure as 15 kPa. The results of the investigation showed...
Sensor fusion is a method of integrating signals from multiple sources. This paper investigated the possibility of using a new universal approximator: support vector machines (SVMs), as the sensor fusion architecture for the accuracy measurement and estimation of lumber moisture content in the wood drying process. The result of comparative analysis with multilayer perceptron was given. The training...
Multisensor information plays an important pole in the target recognition and other application fields. Fusion performance is tightly depended on the fusion level selected and the approach used. Feature level fusion is a potential and difficult fusion level. Bayesian fusion method is an important theory in feature level. A new method is presented to fuse infrared images and recognize object in the...
Multisensor information fusion seeks to combine data from multiple sensors to measure the variables that may not be possible from a single sensor alone, reducing signals uncertainty and improving the accuracy performance of the measuring. The two main parts in multisensor information fusion system are the fusion model and fusion algorithm. In this paper, a radial basis function (RBF) neural network...
Arithmetic of data fusion and high-level error correcting applicable to sensor network are presented. These arithmetic can be updated and are universally applicable, so they can be applied to any kind and any size sensor networks. The process of data fusion has a remarkable effect on decreasing the data flux, as a result it can realize the real-time and remote monitoring to the message under the condition...
Considering existing questions of the traditional synchronous fusion algorithms, e.g. assumptions of white noise and non-transmission delay produced by the influences of weather, humidity, magnetic field and communication line etc., the paper proposes an improved sequential weighted fusion algorithm, which cannot only deal with colored noise but also adapt automatically the case with network-induced...
Tactical plan recognition differs from traditional plan recognition in a number of ways, after discussing the military demands and the difference between them we highlight the structure and uncertainty propagation in tactical plan recognition, and establish the relationship between the elements involved in the plan recognition problem by utilizing the causal links in the effects based operation theory,...
In this paper, a new classification method based on contextual data fusion is proposed. The method is suited for land-use classification of remotely sensed images of the same scene captured at different dates from multiple sources. It incorporates a priori information about the likelihood of changes between the acquisitions of the different images to be fused. The contextual analysis of a multisensor...
There are two kinds of methods to characteristic-degree targets recognition of multi-sensor system, as follows: one is the method based on statistic algorithm; the other one is based on neural network. The primary fault of the former is depending on many assumptions during the process of targets recognition, the latter one cannot deal with the identified problem to the complex multi-sensor system...
Multi-modal human computer interaction indicates that human can be interacted with computer by use of keyboard and mouse, also by using gesture, brow and speech. This paper introduces a formal model of perception agent, discusses the structure of multi-modal human computer interaction system based on agent. Finally, network environment of system execution and the methods of information fusion are...
In finite set, Choquet fuzzy integral with respect to fuzzy measures can be transferred into linear combination of product, based on this fact we can choose standard optimization technical to determine fuzzy measures. This paper present linear programming and quadratic programming to determine fuzzy measures, the experiments demonstrate that classification accuracy of fuzzy integral with respect to...
Self-localization methods for intelligent mobile robot can be found from literatures. Here, we studied two information fusion methods, namely extended Kalman filter and unscented Kalman filter. They are used to locate the pose of mobile robot that is navigating in the indoor environment. To analyze the performance of the two filters, they were used respectively to fuse the information coming from...
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