The paradigm of multisensor data fusion has been evolved from a centralized architecture to a decentralized or distributed architecture along with the advancement in sensor and communication technologies. These days, distributed state estimation and data fusion has been widely explored in diverse fields of engineering and control due to its superior performance over the centralized one in terms...

This paper presents a system f o r classification of scenes using a multisensor integration framework. Indoor scenes are imaged using a visual and a n infrared sensor and the images processed in three stages to perf o r m classification of sensed objects into two classes: human and background. Finally, information f rom individual classifiers is integrated in order to obtain an improved classif...

PARAMETRIC AND NONPARAMETRIC APPROACHES FOR MULTISENSOR DATA FUSION

Data fusion has been a trend in the field of imaging and signal/image analysis. Although multisensor data fusion is still not regarded as a formal professional discipline, tremendous progress has been made since the publication of the first edition of this book in 1992. With this second edition, the authors have been successful in updating us with state-of-the-art methods and techniques in mult...

Time synchronization is the primary prerequisite for multisensor integration. Many methods have been used in different systems, but they are either too expensive or inconvenient for research purposes. In this paper the system design of a Cost Effective Synchronization System (CESS) is described, and two experiments are described that have tested the synchronization accuracy of the system. They ...

Although UNIX is considered a very stable and secure platform, the development of Intrusion Detection Systems (IDS) is essential as current and future generations of hackers are continuously attempting to undermine its integrity. The empirical experiment of multiple simultaneous threat detection system proved that use of hybrid data fusion model of Bayesian, Dempster Shafer and extended Dempste...

In this paper, we present a multisensor surveillance system that consists of an optical sensor and an infrared sensor. In this system, a background subtraction method based on zero-order statistics is utilized for the moving object segmentation. Additionally, we propose a generic approach to simultaneous object tracking and multisensor image registration. An efficient face detection system is s...

With the availability of multisensor, multitemporal, multiresolution and multifrequency image data from operational Earth observation satellites the fusion of digital image data has become a valuable tool in remote sensing image evaluation. Digital image fusion is a relatively new research ® eld at the leading edge of available technology. It forms a rapidly developing area of research in remot...

The focus of this paper is the problem of recursive estimation for uncertain multisensor linear discrete-time systems. We herein propose a new suboptimal filtering algorithm. The basis of the proposed algorithm is the fusion formula for an arbitrary number of local Kalman filters. The proposed suboptimal filter fuses each local Kalman filter by weighted sum with scalar weights. This filter can ...

This paper discusses the application of category theory as a unifying concept for formally developed information fusion systems. Category theory is a mathematically sound technique used to capture the commonalties and relationships between objects. This feature makes category theory a very elegant language for describing information fusion systems and the information fusion process itself. Afte...