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Convex optimization approach to the fusion of identity information

proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 389-397页

作者： Li, Lingjie Luo, Zhi-Quan Wong, K.Max Bosse, Eloi McMaster Univ Hamilton Canada

We consider the problem of identify fusion for a multi-sensor target tracking system whereby sensors generate reports on the target identities. Since the sensor reports are typically fuzzy, 'incomplete' and inconsistent, the fusion of such sensor reports becomes a major challenge. In this paper, we introduce a new identify fusion approach based on the minimization of inconsistencies between the sensor reports by using a convex Quadratic Programming (QP) and linear programming (LP) formulation. In contrast to the Dempster-Shafer's evidential reasoning approach which suffers from exponentially growing complexity, our approach is highly efficient (polynomial time solvable). Moreover, our approach is capable of fusing 'Ratio type' sensor reports, thus it is more general than the evidential reasoning theory. When the sensor reports are consistent, the solution generated by the new fusion method can be shown to converge to the true probability distribution. Simulation work shows that our method generates reasonable fusion results, and when only 'Subset type' sensor reports are present, it produces fusion results similar to that obtained via the evidential reasoning theory.

关键词： sensor data fusion

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Multifeature fusion using Pulse Coupled Neural Networks

Multifeature fusion using Pulse Coupled Neural Networks

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Conference on sensor fusion - architectures, algorithms, and applications iii

作者： Inguva, R Johnson, JL Schamschula, MP East West Enterprises Huntsville AL 35805 USA

We propose an unbiased multifeature fusion Pulse Coupled Neural Network (PCNN) algorithm. The method shares linking between several PCNNs running in parallel. We illustrate the PCNN fusion technique with a clean and n... 详细信息

ISBN: (纸本)0819431931

关键词： Image fusion Neural networks Image processing Modulators Convolution Evolutionary algorithms Feature extraction Modulation Pulse generators Transform theory

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Feature level sensor fusion

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proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 332-338页

作者： Peli, Tamar Young, Mon Knox, Robert Ellis, Ken Bennett, Fredrick Atlantic Aerospace Electronics Corp Waltham United States

This paper describes two practical fusion techniques (hybrid fusion and cued fusion) for automatic target cueing that combine features derived from each sensor data at the object-level. In the hybrid fusion method each of the input sensor data is prescreened (i.e. Automatic Target Cueing (ATC) is performed) before the fusion stage. The cued fusion method assumes that one of the sensors is designated as a primary sensor, and thus ATC is only applied to its input data. If one of the sensors exhibits a higher Pd and/or a lower false alarm rate, it can be selected as the primary sensor. However, if the ground coverage can be segmented to regions in which one of the sensors is known to exhibit better performance, then the cued fusion can be applied locally/adaptively by switching the choice of a primary sensor. Otherwise, the cued fusion is applied both ways (each sensor as primary) and the outputs of each cued mode are combined. Both fusion approaches use a back-end discrimination stage that is applied to a combined feature vector to reduce false alarms. The two fusion processes were applied to spectral and radar sensor data and were shown to provide substantial false alarm reduction. The approaches are easily extendable to more than two sensors.

关键词： sensor data fusion

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MathWeb: a concurrent image analysis tool suite for multi-spectral data fusion

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proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 351-358页

作者： Achalakul, Tiranee Haaland, Peter D. Taylor, Stephen Syracuse Univ Syracuse United States

This paper describes a preliminary approach to the fusion of multi-spectral image data for the analysis of cervical cancer. The long-term goal of this research is to define spectral signatures and automatically detect cancer cell structures. The approach combines a multi-spectral microscope with an image analysis tool suite, MathWeb. The tool suite incorporates a concurrent Principal Component Transform (PCT) that is used to fuse the multi-spectral data. This paper describes the general approach and the concurrent PCT algorithm. The algorithm is evaluated from both the perspective of image quality and performance scalability.

关键词： Image analysis

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Registration of scenes for the detection of concealed weapons

Registration of scenes for the detection of concealed weapon...

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Conference on sensor fusion - architectures, algorithms, and applications iii

作者： Slamani, MA Varshney, PK Alford, MG Ferris, D Stiefvater Consultants Inc Marcy NY 13403 USA

ISBN: (纸本)0819431931

A number of sensors are being developed for the Concealed Weapon Detection (CWD), and use of the appropriate sensor or combination of sensors will be: very important to the success of such technologies. Assuming that two identical sensors are used to collect data on a target from different angular views, this paper addresses the problem of registration associated with the collected scenes. Theory and application to real data are presented.

关键词： image registration Concealed Weapons Detection A'SCAPE enhancement fusion

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Feature and data level fusion of infrared and visual images

Feature and data level fusion of infrared and visual images

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Conference on sensor fusion - architectures, algorithms, and applications iii

作者： Ulug, ME McCullough, CL Intelligent Neurons (United States) U.S. Army Space and Missile Defense Command (United States)

ISBN: (纸本)0819431931

In both military and civilian applications, increasing interest is being shown in fusing infrared and vision images for improved situational awareness. In previous work, the authors have developed a fusion method for combining the thermal and vision images into a single image emphasizing the most salient features of the surrounding environment. This approach is based on the assumption that although the thermal and vision data are uncorrelated, they are complementary and can be fused using a suitable disjunctive function. This paper, as a continuation of that work, will describe the development of an information based real-time data level fusion method. In addition, applicability of the algorithms thar we developed for data level fusion to feature level techniques (e.g., shapes, lines, and edges) will be investigated.

关键词： data level fusion sensor fusion infrared

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Fuzzy sensor fusion for gas turbine power plants

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proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 52-61页

作者： Goebel, Kai Agogino, Alice GE Corp Research & Development Niskayuna United States

In this paper we present a methodology for fuzzy sensor fusion. We then apply this methodology to sensor data from a gas turbine power plant. The developed fusion algorithm tackles several problems: 1.) It aggregates redundant (but uncertain) sensor information; this allows making decisions which sensors (and to what degree) should be considered for propagation of sensor information. 2.) It filters out noise and sensor failure from measurements; this allows a system to operate despite temporary or permanent failure of one or more sensors. For the fusion, we use a combination of direct and functional redundancy. The fusion algorithm uses confidence values obtained for each sensor reading from validation curves and performs a weighted average fusion. With increasing distance from the predicted value, readings are discounted through a non-linear validation function. They are assigned a confidence value accordingly. The predicted value in the described algorithm is obtained through application of a fuzzy exponential weighted moving average time series predictor with adaptive coefficients. Experiments on real data from a gas turbine power plant show the robustness of the fusion algorithm which leads to smooth controller input values.

关键词： sensor data fusion

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ITS detector testbed system design and implementation

ITS detector testbed system design and implementation

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Conference on sensor fusion - architectures, algorithms, and applications iii

作者： Chang, ECP Texas A&M Univ Texas Transportat Inst College Stn TX 77843 USA

ISBN: (纸本)0819431931

Intelligent Transportation Systems (ITS), implemented all over the world, has become an important and practical traffic management technique. Among all ITS subsystems, the detection system plays an integral element that provides all the necessary environmental information to the ITS infrastructure. This paper describes the ITS Detector testbed design, currently being implemented with these potential ITS applications on the State Highway 6 in College Station, Texas to provide a multi-sensor, multi-source fusion environment that utilizes both multi-sensor and distributed sensor system testing environment.

关键词： Intelligent Transportation Systems real-time vehicular detection detector evaluation multi-sensor multi-source fusion

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Data level fusion using common symmetry set

Data level fusion using common symmetry set

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Conference on sensor fusion - architectures, algorithms, and applications iii

作者： Tari, S Middle E Tech Univ Dept Engn Sci TR-06531 Ankara Turkey

ISBN: (纸本)0819431931

Availability of different imaging modalities requires techniques to process and combine information from different images of the same phenomena. We present a symmetry based approach for combining information from multiple images. fusion is performed at data level. Actual object boundaries and shape descriptors are recovered directly from raw sensor output(s). Method is applicable to arbitrary number of images in arbitrary dimension.

关键词： Image fusion Data fusion Image segmentation sensors Image processing Information fusion Data processing Shape analysis 3D image processing Image analysis

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Fuzzy logic approach for data association

Fuzzy logic approach for data association

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proceedings of the 1999 sensor fusion: architectures, algorithms, and applications iii

作者： Stubberud, Stephen C. Lugo, Kristi A. ORINCON Corp San Diego CA United States

A fuzzy logic based data association routine has been developed. The concept is based on very simple fuzzy logic implementation. The resulting technique is intended as an enhancement to current data association routines when added information such as sensor blockage and forbidden terrain knowledge can be incorporated into the system.

关键词： sensor data fusion

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