Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)
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Information fusion for image analysis: geospatial foundations for higher-level fusion
Tập 1 - Trang 562-569 vol.1
In support of the AFOSR program in Information Fusion, the CNS Technology Laboratory at Boston University is developing and applying neural models of image and signal processing, pattern learning and recognition, associative learning dynamics, and 3D visualization, to the domain of Information Fusion for Image Analysis in a geospatial context. Our research is focused by a challenge problem involvi...... hiện toàn bộ
#Image analysis #Laboratories #Context modeling #Signal processing #Pattern recognition #Image recognition #Vehicle dynamics #Visualization #Focusing #Terrorism
A new method for representing linguistic quantifications by random sets with applications to tracking and data fusion
Tập 2 - Trang 1308-1315 vol.2
There is an obvious need to be able to integrate both linguistic-based and stochastic-based input information in data fusion. In particular, this need is critical in addressing problems of track association, including cyber-state intrusions. This paper treats this issue through a new insight into how three apparently distinct mathematical tools can be combined: "boolean relational event algebra" (...... hiện toàn bộ
#Algebra #Fuzzy logic #Fuzzy sets #Educational institutions #Probabilistic logic #Arithmetic #Natural languages #Stochastic processes #Information security #Testing
Boosted learning in dynamic Bayesian networks for multimodal detection
Tập 1 - Trang 550-556 vol.1
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with efficient algorithms for inference and learning. Temporal fusion of multiple sensors can be efficiently formulated using dynamic Bayesian networks (DBNs) which allow the power of statistical inference and learning to be combined with contextual knowledge of the problem. U...... hiện toàn bộ
#Bayesian methods #Inference algorithms #Face detection #Motion detection #Humans #Sensor fusion #Learning systems #Skin #Mouth #Detectors
A d-step fixed-lag smoothing algorithm for Markovian switching systems
Tập 1 - Trang 721-726 vol.1
A suboptimal approach to the d(d /spl ges/ 0) step fixed-lag smoothing problem for Markovian switching systems is presented. Multiple Model Estimation techniques have been widely used in solving state estimation problems of these systems. We demonstrated that the mode probability of each fixed-lag smoother at time k-d (data up to time k), thus it is possible to use Markov transition probability an...... hiện toàn bộ
#Smoothing methods #Switching systems #State estimation #Probability #Target tracking #Gaussian noise #Filters #Filtering algorithms #Statistics #Costs
Information fusion for natural and man-made disasters
Tập 1 - Trang 570-576 vol.1
The Center for Multisource Information Fusion (CMIF) at the University at Buffalo is in the early stages of a multi-year research program addressing information fusion (IF) to support crisis-center decision-makers dealing with post-event situations for both earthquakes (a natural disaster) and chemical attacks (a man-made disaster). This paper describes the overall strategic approach to this resea...... hiện toàn bộ
#Earthquakes #Data analysis #Chemical technology #Robustness #Vehicle dynamics #Vehicles #Routing #Hospitals #Decision making #Life estimation
Robust report level cluster-to-track fusion
Tập 2 - Trang 913-918 vol.2
In this paper we develop a method for report level tracking based on Dempster-Shafer clustering using Potts spin neural networks where clusters of incoming reports are gradually fused into existing tracks, one cluster for each track. Incoming reports are put into a cluster and continuous reclustering of older reports is made in order to obtain maximum association fit within the cluster and towards...... hiện toàn bộ
#Robustness #Neural networks #Memory management #History #Command and control systems #Clustering algorithms #Clustering methods #Large-scale systems #Possibility theory #Testing
Tracking in decentralised air-ground sensing networks
Tập 1 - Trang 616-623 vol.1
This paper describes the theoretical and practical development of a decentralised air and ground sensing network for target tracking and identification. The theoretical methods employed for studying decentralised data fusion problems are based on the information-filter formulation of the Kalman filter algorithm and on information-theoretic methods derived from the Bayes theorem. The paper particul...... hiện toàn bộ
#Intelligent networks #Unmanned aerial vehicles #Payloads #Laser radar #Australia #Sensor systems #Sensor arrays #Information filters #State estimation #Bandwidth
Sensor placement for grid coverage under imprecise detections
Tập 2 - Trang 1581-1587 vol.2
We present a resource-bounded optimization framework for sensor resource management under the constraints of sufficient grid coverage of the sensor field. We offer a unique "minimalistic" view of distributed sensor networks in which sensors transmit/report a minimum amount of sensed data. The proposed theory is aimed at optimizing the number of sensors and determine their placement to support such...... hiện toàn bộ
#Intelligent sensors #Infrared sensors #Constraint optimization #Resource management #Sensor fusion #Surveillance #Costs #Grid computing #Computer science #Security
Threat assessment in tactical airborne environments
Tập 2 - Trang 1300-1307 vol.2
The paper reports the results of a research program on target threat assessment. A threat assessment process will be discussed. There are basically two components in this process: intent assessment and capability assessment. Threat assessment was analysed using Cognitive Work Domain Analysis technique. A model of intent assessment based upon Bayesian Networks will be discussed with its test result...... hiện toàn bộ
#Bayesian methods #Aircraft #Aerospace electronics #Paper technology #Australia #Military computing #Modems #Testing #Information analysis #Counting circuits
Fusion of X-ray and geometrical data in computed tomography for nondestructive testing applications
Tập 1 - Trang 309-316 vol.1
X-ray computed tomography (CT) is widely used in nondestructive testing (NDT) techniques. While in medical imaging, classical methods based on backprojection (BP) or algebraic reconstruction techniques (ART) are satisfactory, in NDT applications, data acquisition constraints are such that these methods do not give satisfactory results. There is then a need for extra information and other kinds of ...... hiện toàn bộ
#Computed tomography #X-ray imaging #Nondestructive testing #Image reconstruction #Biomedical imaging #Subspace constraints #Data acquisition #Radiography #Bayesian methods #Shape