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检索条件"任意字段=Conference on Sensor Fusion - Architectures, Algorithms, and Applications VI"

共 306 条记录，以下是281-290 订阅

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Estimation of subpixel-resolution motion fields from segmented image sequences

Estimation of subpixel-resolution motion fields from segment...

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conference on sensor fusion - architectures, algorithms, and applications II

作者： Schultz, RR Stevenson, RL Univ N Dakota Dept Elect Engn Grand Forks ND 58202 USA

ISBN: (纸本)0819428256

Super-resolution enhancement algorithms are used to estimate a high-resolution video still (HRVS) from several low-resolution frames, provided that objects within the image sequence move with subpixel increments. However, estimating an accurate subpixel-resolution motion field between two low-resolution, noisy video frames has proven to be a formidable challenge. Up-sampling the image sequence frames followed by the application of block matching, optical flow estimation, or Bayesian motion estimation results in relatively poor subpixel-resolution motion fields, and consequently inaccurate regions within the super-resolution enhanced video still. This is particularly true for large interpolation factors (greater than or equal to 4). To improve the quality of the subpixel motion fields and the corresponding HRVS, motion can be estimated for each object within a segmented image sequence. First, a reference video frame is segmented into its constituent objects, and a mask is generated for each object which describes its spatial location. As described previously, subpixel-resolution motion estimation is then conducted by video frame up-sampling followed by the application of a motion estimation algorithm. Finally, the motion vectors are averaged over the region of each mask by applying an a-trimmed mean filter to the horizontal and vertical components separately. Since each object moves as a single entity, averaging eliminates many of the motion estimation errors and results in much more consistent subpixel motion fields. A substantial improvement is also visible within particular regions of the HRVS estimates. Subpixel-resolution motion fields and HRVS estimates are computed for interpolation factors of 2, 4, 8, and 16, to examine the benefits of object segmentation and motion field averaging.

关键词： interpolation motion estimation segmentation sensor fusion super-resolution enhancement

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Multiple sensor fusion for long range surveillance: Design and performance issues

Multiple sensor fusion for long range surveillance: Design a...

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conference on sensor fusion - architectures, algorithms, and applications

作者： Jones, G Raytheon Canada Ltd. (Canada)

ISBN: (纸本)081942482X

This paper provides a description and detailed review of a multiple hypothesis tracking system, which handles data from two radars, and a number of other sources. An efficient method for processing detections from two (time-offset) radars, and integrating them in the multiple hypothesis framework will be described. The implications of such a methodology on the tracking filter will also be discussed. The paper then explains the algorithm employed for fusion of Automatic Dependent Surveillance reports into the system, and concludes with a demonstration of some sample results.

关键词： multiple-hypothesis tracking sensor fusion

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Decision level data fusion using Bayesian inference

Decision level data fusion using Bayesian inference

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conference on sensor fusion - architectures, algorithms, and applications

作者： Parish, J TRW Inc. (United States)

ISBN: (纸本)081942482X

This paper describes a blackboard system for integrating observations from multiple sensors. Multiple sensors report observations to the blackboard system. The blackboard system correlates the observations to a set of active models, and the models are both temporally limited and also probabilistic. The design is object-oriented to allow for extensions that accommodate new models and sensors. An example application to a grid of sensors is presented

关键词： Bayesian inference blackboard systems data fusion

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Identity and attribute information fusion using evidential reasoning

Identity and attribute information fusion using evidential r...

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conference on sensor fusion - architectures, algorithms, and applications

作者： Bosse, E Simard, MA Defence Research Establishment Valcartier (Canada) Lockheed Martin Canada (Canada)

ISBN: (纸本)081942482X

The aim of this paper is to explore the problem of fusing identity and attribute information emanating from different sources, and to offer the decision maker a quantitative analysis based on statistical methodology that can enhance his/her decision making process regarding the identity of detected objects. Two identity information fusion architectures are discussed here. The first is concerned with the fusion of identity declarations where the sources are expected to provide only useful and complete results such as an identity declaration. The second is concerned with the fusion of attribute information using a modified version of the Dempster-Shafer evidential combination algorithm.

关键词： sensors Information fusion Data fusion Data processing Radar Electronic support measures Telecommunications Signal processing Databases Probability theory

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E-O and SAR image analysis and registration applications

E-O and SAR image analysis and registration applications

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conference on sensor fusion - architectures, algorithms, and applications

作者： Lampropoulos, GA Halet, A Rey, M Boulter, JF A.U.G. Signals Ltd. (Canada) Defence Research Establishment Ottawa (Canada) Defence Research Establishment Valcartier (Canada)

ISBN: (纸本)081942482X

in this paper we present an approach for association and registration of multi-sensor images. With no loss of generality, we consider herein the association and registration of SAR and visible satellite images. Although the current approach as presented is a semi-automatic registration technique, there is sufficient promise for the development of a fully automatic multi-sensor multi-spectra registration approach. Some experimental results are presented.

关键词： Image segmentation Image registration Synthetic aperture radar Roads Image restoration Image analysis Image processing algorithms and systems sensors Satellite imaging Satellites

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fusion of data from spatially separated sensors using Riemannian manifolds

Fusion of data from spatially separated sensors using Rieman...

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conference on sensor fusion - architectures, algorithms, and applications

作者： Cain, MP Booz*Allen & Hamilton Inc. (United States)

ISBN: (纸本)081942482X

In this paper, an approach for representing target classes in feature space using Riemannian manifolds is explored. In a formal application of the approach, it is required that several basic assumptions used in the development of differential and Riemannian geometry are satisfied. These assumptions relate to the concepts of allowable parametric representations and allowable coordinate transformations. Developing target class representations which satisfy these assumptions has a direct consequence on the selection of a suitable feature set. Having found a suitable feature set, the approach results in a natural coordinate system in which to calculate distance metrics used in classification algorithms. In this paper, the approach is applied to a situation where an active sensor and a passive sensor are spatially separated and are simultaneously collecting data on a set of targets. It is shown that the use of the natural coordinate system offered by this approach leads to a straightforward and mathematically rigorous method for fusing the sensor data at the feature level.

关键词： Riemann data fusion feature level fusion classification

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Decision fusion using channels with communication constraints

Decision fusion using channels with communication constraint...

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conference on sensor fusion - architectures, algorithms, and applications

作者： Yu, CT Varshney, PK Nan-Tai Institute of Technology (Taiwan) Syracuse Univ. (United States)

ISBN: (纸本)081942482X

A decentralized detection system usually contains a number of remotely located local sensors that observe a common phenomenon and a data fusion center that makes a final decision. The local sensors are linked to the data fusion center by transmission channels. In this paper, some aspects of decision fusion problems with communication constraints are considered. Two interesting issues, namely, bandwidth allocation among the channels linking local sensors to the fusion center, and the trade-off between the number of sensors and the number of likelihood-ratio quantization levels at local sensors. are studied. Examples are presented for illustration.

关键词： bandwidth allocation sampling quantization data fusion distributed detection

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Comparison of robustized assignment algorithms

Comparison of robustized assignment algorithms

引用

conference on Signal Processing, sensor fusion, and Target Recognition vi

作者： Kadar, I Eadan, E Gassner, R Northrop Grumman Corp. (United States) Rome Lab. (United States)

ISBN: (纸本)0819424838

Several assignment methods are compared in terms of problem size, computational complexity and misassignment as a function of sparsity and gating. Specific real world applications include multi-target multi-sensor tracking/fusion and resource management with sparse cost matrices. The cost matrix computational complexity is also addressed. Both randomly generated cost matrices and measured data sets are used to test the algorithms. It is shown that, both standard and some new greedy, assignment algorithms significantly degrade in performance with fully gated columns and/or rows. However, it is shown that it is possible to modify specific algorithms to regain the lost optimality.

关键词： robust association correlation and assignment algorithms multi-target multi-sensor tracking sensor fusion resource management distributed systems

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Combined force and position Polyvinylidene Fluoride (PVDF) Robotic tactile sensing system

Combined force and position Polyvinylidene Fluoride (PVDF) R...

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conference on sensor fusion - architectures, algorithms, and applications

作者： Dargahi, J Eastwood, AR Kemp, IJ Glasgow Caledonian Univ. (United Kingdom)

ISBN: (纸本)081942482X

This paper reports on a tactile sensing system with only three sensing elements. The magnitude and position of the applied force is obtained by utilising triangulation approach combined with membrane stress, some information about shape of the contact object is obtained. The sensor is designed to overcome the problems of cross-talk between sensing elements, complexity and fragility which is associated with some PVDF tactile sensors arranged in matrix form. The theoretical analysis of the sensor is made and compared with experimental results. The limitation of the sensor is also reported.

关键词： tactile sensor robotics polyvinylidene fluoride piezoelectric cross talk sensing element

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Decision fusion strategies for target detection with a three-sensor suite

Decision fusion strategies for target detection with a three...

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conference on sensor fusion - architectures, algorithms, and applications

作者： Dasarathy, BV Dynetics Inc. (United States)

ISBN: (纸本)081942482X

Boolean logic based decision fusion strategies for target detection with two sensors have been studied in detail in the literature over the years. Increasing the number of sensors to three, offers an aided dimension of flexibility in the design of fusion strategies. One could visualize a single stage fusion wherein the decision outputs of all the three sensor subsystems are fused simultaneously under a variety of strategies such as AND logic, or majority (simple or firm decisions only) logic, or a no-firm contradiction logic. Alternatively, one could explore a two-stage fusion strategy, wherein either an AND or an OR logic is used at the first stage combining the decisions of two of the sensor subsystems, followed by a similar logic choice combining the fused decision from the first level with the decision from the third sensor subsystem. Of these strategies, while some may turn out to be equivalent in a mathematical sense, others remain clearly unique. The study analyzes these strategies to assess their relative benefits. The papers concludes with a brief discussion on possible extensions in terms of temporal fusion strategies that exploit information derived from multiple looks and the potential for application to real-world problems such as mine detection.

关键词： sensor fusion decision fusion fusion strategies three-sensors suite mine detection

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