Pub Date : 2002-07-08DOI: 10.1109/ICIF.2002.1021147
D. Gruyer, M. Mangeas
Often, when several information sources are available, data are heterogeneous and asynchronous. The combination of all these information sources remains as a difficult task which strongly depends on the representation of the used data. Consequently, it is imperative to choose a model of knowledge representation well adapted to each kind of information. When each source is perfectly represented and modelled, we need to know how to associate them the most faithful and the most reliable way. In this paper, we propose a new credibilistic approach for multi-sensors data association able to resolve the problems mentioned above. This association algorithm provides a reliable and robust representation of an environment by using all available information.
{"title":"A new approach for credibilistic multi-sensor association","authors":"D. Gruyer, M. Mangeas","doi":"10.1109/ICIF.2002.1021147","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1021147","url":null,"abstract":"Often, when several information sources are available, data are heterogeneous and asynchronous. The combination of all these information sources remains as a difficult task which strongly depends on the representation of the used data. Consequently, it is imperative to choose a model of knowledge representation well adapted to each kind of information. When each source is perfectly represented and modelled, we need to know how to associate them the most faithful and the most reliable way. In this paper, we propose a new credibilistic approach for multi-sensors data association able to resolve the problems mentioned above. This association algorithm provides a reliable and robust representation of an environment by using all available information.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117242754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-07-08DOI: 10.1109/ICIF.2002.1021130
Q. Cheng, P. Varshney, K. Mehrotra, C. Mohan
In this paper, distributed sequential detection problems with quantized observations are investigated. The observations available at each sensor are first compressed to multi-bit sensor decisions (soft decisions) and sent to the fusion center. At the fusion center, a sequential data fusion scheme is implemented in order to reach a global decision. Optimal bandwidth distribution among sensors is considered under communication constraints as well as under a generalized cost formulation. A system optimization algorithm is developed, including optimal fusion center design and optimal local quantizer design, for the minimization of the average sample number, given prespecified values of the probabilities of false alarm and miss. Simulations of the algorithm show that this approach succeeds in effective optimal bandwidth assignment.
{"title":"Optimal bandwidth assignment for distributed sequential detection","authors":"Q. Cheng, P. Varshney, K. Mehrotra, C. Mohan","doi":"10.1109/ICIF.2002.1021130","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1021130","url":null,"abstract":"In this paper, distributed sequential detection problems with quantized observations are investigated. The observations available at each sensor are first compressed to multi-bit sensor decisions (soft decisions) and sent to the fusion center. At the fusion center, a sequential data fusion scheme is implemented in order to reach a global decision. Optimal bandwidth distribution among sensors is considered under communication constraints as well as under a generalized cost formulation. A system optimization algorithm is developed, including optimal fusion center design and optimal local quantizer design, for the minimization of the average sample number, given prespecified values of the probabilities of false alarm and miss. Simulations of the algorithm show that this approach succeeds in effective optimal bandwidth assignment.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116477476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-07-08DOI: 10.1109/ICIF.2002.1021002
Gemma Piella
We propose a multiresolution fusion algorithm which combines aspects of region and pixel-based fusion. We use multiresolution decompositions to represent the input images at different scales, and introduce a multiresolution/multimodal segmentation to partition the image domain at these scales. The basic idea is to use this segmentation to guide the fusion process. A region-based multiresolution approach allows us to consider low-level as well as intermediate-level structures, and to impose data-dependent consistency constraints based on spatial, inter and intra-scale dependencies.
{"title":"A region-based multiresolution image fusion algorithm","authors":"Gemma Piella","doi":"10.1109/ICIF.2002.1021002","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1021002","url":null,"abstract":"We propose a multiresolution fusion algorithm which combines aspects of region and pixel-based fusion. We use multiresolution decompositions to represent the input images at different scales, and introduce a multiresolution/multimodal segmentation to partition the image domain at these scales. The basic idea is to use this segmentation to guide the fusion process. A region-based multiresolution approach allows us to consider low-level as well as intermediate-level structures, and to impose data-dependent consistency constraints based on spatial, inter and intra-scale dependencies.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123975384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-07-08DOI: 10.1109/ICIF.2002.1021142
M. Mallick, J. Krant, Y. Bar-Shalom
Out-of-sequence measurements (OOSMS) arise in a multi-sensor central-tracking system due to communication network delays and varying preprocessing times at the sensor platforms. During the last few years a great deal of research has focussed attention on the OOSM filtering problem. However, research in the multi-sensor multi-target OOSM tracking involving data association, filtering, and hypothesis management is still lacking. Some previous efforts have used buffering and measurement reprocessing to handle the OOSMs. In this paper, we present single-model multiple-lag OOSM algorithms for data association, likelihood computation, and hypothesis management for a dwell-based multi-sensor multi-target multi-hypothesis tracking (MHT) system that handles missed detections and clutter. We present numerical results using simulated multi-sensor ground moving target indicator (GMTI) radar measurements.
{"title":"Multi-sensor multi-target tracking using out-of-sequence measurements","authors":"M. Mallick, J. Krant, Y. Bar-Shalom","doi":"10.1109/ICIF.2002.1021142","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1021142","url":null,"abstract":"Out-of-sequence measurements (OOSMS) arise in a multi-sensor central-tracking system due to communication network delays and varying preprocessing times at the sensor platforms. During the last few years a great deal of research has focussed attention on the OOSM filtering problem. However, research in the multi-sensor multi-target OOSM tracking involving data association, filtering, and hypothesis management is still lacking. Some previous efforts have used buffering and measurement reprocessing to handle the OOSMs. In this paper, we present single-model multiple-lag OOSM algorithms for data association, likelihood computation, and hypothesis management for a dwell-based multi-sensor multi-target multi-hypothesis tracking (MHT) system that handles missed detections and clutter. We present numerical results using simulated multi-sensor ground moving target indicator (GMTI) radar measurements.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124455114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-07-08DOI: 10.1109/ICIF.2002.1020952
R. Lyon, J. Dorband, G. Solyar, U. Ranawake
Image fusion and information extraction from multiple spacecraft can occur after each image is sampled and digitized. A more tantalizing, but difficult, approach would be to optically phase multiple spacecraft flying in formation. Phasing of multiple spacecraft allows for coherent addition of imagery resulting in an optical system with a synthetic aperture as large as distance between the spacecraft. Thus, space based optical imaging systems approaching 100's of meters could theoretically be achieved; ultimately allowing for resolution of the solar disks of stars and resolution of extra-solar planets around these stars. The methods and techniques for systems of this type, as well as a number of optical testbeds for proof of principle and validation of the methods are currently under study at NASA Goddard Space Flight Center. In this work we give an overview of the underlying principles, the technology required and the state of development of the various testbeds involved.
{"title":"Interferometric image fusion: interferometry in space","authors":"R. Lyon, J. Dorband, G. Solyar, U. Ranawake","doi":"10.1109/ICIF.2002.1020952","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1020952","url":null,"abstract":"Image fusion and information extraction from multiple spacecraft can occur after each image is sampled and digitized. A more tantalizing, but difficult, approach would be to optically phase multiple spacecraft flying in formation. Phasing of multiple spacecraft allows for coherent addition of imagery resulting in an optical system with a synthetic aperture as large as distance between the spacecraft. Thus, space based optical imaging systems approaching 100's of meters could theoretically be achieved; ultimately allowing for resolution of the solar disks of stars and resolution of extra-solar planets around these stars. The methods and techniques for systems of this type, as well as a number of optical testbeds for proof of principle and validation of the methods are currently under study at NASA Goddard Space Flight Center. In this work we give an overview of the underlying principles, the technology required and the state of development of the various testbeds involved.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125862031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-07-08DOI: 10.1109/ICIF.2002.1021133
J. Smith
A fuzzy logic based expert system has been developed that automatically allocates resources in realtime over many dissimilar platforms. The platforms can be very general, e.g., ships, planes, etc. Potential foes can also be general. The resource manager has been embedded in an electronic game environment. This co-evolutionary game fully automates the data mining problem allowing determination of parameters essential to the resource manager. The game allows the resource manager to learn from human experts or computerized enemies. The game does not determine the structure of fuzzy decision trees. A new data mining algorithm that uses a genetic program, an algorithm that evolves other computer programs, as a data mining function has been developed to solve this problem. It not only determines the fuzzy decision tree structure it also creates fuzzy rules while mining scenario data bases. Finally, experimental results are discussed related to both data mining algorithms.
{"title":"Data mining for multi-agent fuzzy decision tree structure and rules","authors":"J. Smith","doi":"10.1109/ICIF.2002.1021133","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1021133","url":null,"abstract":"A fuzzy logic based expert system has been developed that automatically allocates resources in realtime over many dissimilar platforms. The platforms can be very general, e.g., ships, planes, etc. Potential foes can also be general. The resource manager has been embedded in an electronic game environment. This co-evolutionary game fully automates the data mining problem allowing determination of parameters essential to the resource manager. The game allows the resource manager to learn from human experts or computerized enemies. The game does not determine the structure of fuzzy decision trees. A new data mining algorithm that uses a genetic program, an algorithm that evolves other computer programs, as a data mining function has been developed to solve this problem. It not only determines the fuzzy decision tree structure it also creates fuzzy rules while mining scenario data bases. Finally, experimental results are discussed related to both data mining algorithms.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125942063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-07-08DOI: 10.1109/ICIF.2002.1020931
Tim Bass
The art and science of multisensor data fusion is the emerging foundation for the development of next generation network-centric decision support systems, including critical infrastructure protection. These challenging technical objectives require the cooperative signal processing of a federation of critical infrastructures. Publish-subscribe architectures provide process-to-process messaging infrastructures that enable a communications framework for the distribution and delivery of information between sensor fusion processes. In this paper we discuss high level service-oriented architectural issues for critical infrastructure multisensor data fusion including event notification services, wide area network topology, and the publish-subscribe subscription language.
{"title":"The federation of critical infrastructure information via publish-subscribe enabled multisensor data fusion","authors":"Tim Bass","doi":"10.1109/ICIF.2002.1020931","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1020931","url":null,"abstract":"The art and science of multisensor data fusion is the emerging foundation for the development of next generation network-centric decision support systems, including critical infrastructure protection. These challenging technical objectives require the cooperative signal processing of a federation of critical infrastructures. Publish-subscribe architectures provide process-to-process messaging infrastructures that enable a communications framework for the distribution and delivery of information between sensor fusion processes. In this paper we discuss high level service-oriented architectural issues for critical infrastructure multisensor data fusion including event notification services, wide area network topology, and the publish-subscribe subscription language.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129337446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-07-08DOI: 10.1109/ICIF.2002.1020898
D. Bellot, A. Boyer, F. Charpillet
A formal framework is proposed for defining data fusion processes. Particularly the notion of qualified gain is proposed: gain related to representation, completeness, accuracy and certainty. These notions are applied to a medical monitoring and diagnosis problem where a dynamic Bayesian network is used to model time series of observations and evolving states. The model aims at giving a daily diagnosis. Experiments are under way using data of an already existing system collected on kidney disease patients. Results are be characterized using our notion of qualified gains.
{"title":"A new definition of qualified gain in a data fusion process: application to telemedicine","authors":"D. Bellot, A. Boyer, F. Charpillet","doi":"10.1109/ICIF.2002.1020898","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1020898","url":null,"abstract":"A formal framework is proposed for defining data fusion processes. Particularly the notion of qualified gain is proposed: gain related to representation, completeness, accuracy and certainty. These notions are applied to a medical monitoring and diagnosis problem where a dynamic Bayesian network is used to model time series of observations and evolving states. The model aims at giving a daily diagnosis. Experiments are under way using data of an already existing system collected on kidney disease patients. Results are be characterized using our notion of qualified gains.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127110097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-07-08DOI: 10.1109/ICIF.2002.1021178
K. Goebel, Weizhong Yan
This paper describes a fusion architecture and implementation for classifiers with binary as well: as continuous output. The fusion scheme is represented as a multi-layered architecture which structures the approach into pre-processing, analysis, and post-processing. All components are partitioned into layers where each layer performs logical tasks. In particular, the pre-processing component is partitioned into a temporal layer and a scaling layer. The analysis component is partitioned into strengthening and weakening layers. The post-processing component is structured into suppression and exception handling layers. Manipulations within these layers transform the binary classifier output as well as continuous output into a single continuous domain. Because the fusion architecture is designed in a modular fashion,. additional modules can be relatively easily. be added or removed. The modular design also allows re-use of the core fusion engine for other domains. We show results of this architecture applied to a system monitoring environment of industrial equipment.
{"title":"Fusing binary and continuous output of multiple classifiers","authors":"K. Goebel, Weizhong Yan","doi":"10.1109/ICIF.2002.1021178","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1021178","url":null,"abstract":"This paper describes a fusion architecture and implementation for classifiers with binary as well: as continuous output. The fusion scheme is represented as a multi-layered architecture which structures the approach into pre-processing, analysis, and post-processing. All components are partitioned into layers where each layer performs logical tasks. In particular, the pre-processing component is partitioned into a temporal layer and a scaling layer. The analysis component is partitioned into strengthening and weakening layers. The post-processing component is structured into suppression and exception handling layers. Manipulations within these layers transform the binary classifier output as well as continuous output into a single continuous domain. Because the fusion architecture is designed in a modular fashion,. additional modules can be relatively easily. be added or removed. The modular design also allows re-use of the core fusion engine for other domains. We show results of this architecture applied to a system monitoring environment of industrial equipment.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129085599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2002-07-08DOI: 10.1109/ICIF.2002.1020951
S. G. Nikolov, D. Bull, C. N. Canagarajah, M.G. Jones, I. Gilchrist
Gaze-contingent displays are used in this paper for integrated visualisation of 2-D multi-modality images. In gaze-contingent displays a window centred around the observer's fixation point is modified while the observer moves their eyes around the display. In the proposed technique, this window, in the central part of vision, is taken from one of the input modalities, while the rest of the display, in peripheral vision, comes from the other one. The human visual system fuses these two images into a single percept. An SMI EyeLink I eye-tracker is used to obtain real-time data about the observer's fixation point, while he/she is examining the displayed images. The test data used in this study comprise registered medical images (CT and MR), remote sensing images, partially-focused images, and multi-layered geographical maps. In all experiments the observer is presented with a dynamic gaze-contingent display. As the eyes scan the display, information is processed not just from the point of fixation but from a larger area, called the 'useful field of view' or 'functional visual field'. Various display parameters, e.g. the size, shape, border, and colour of the window, affect the perception and combination of the two image types. Images generated using this new approach are presented and qualitatively compared to other commonly used multi-modality image display methods, such as adjacent display, 'chessboard' display and transparency weighted display.
{"title":"Multi-modality gaze-contingent displays for image fusion","authors":"S. G. Nikolov, D. Bull, C. N. Canagarajah, M.G. Jones, I. Gilchrist","doi":"10.1109/ICIF.2002.1020951","DOIUrl":"https://doi.org/10.1109/ICIF.2002.1020951","url":null,"abstract":"Gaze-contingent displays are used in this paper for integrated visualisation of 2-D multi-modality images. In gaze-contingent displays a window centred around the observer's fixation point is modified while the observer moves their eyes around the display. In the proposed technique, this window, in the central part of vision, is taken from one of the input modalities, while the rest of the display, in peripheral vision, comes from the other one. The human visual system fuses these two images into a single percept. An SMI EyeLink I eye-tracker is used to obtain real-time data about the observer's fixation point, while he/she is examining the displayed images. The test data used in this study comprise registered medical images (CT and MR), remote sensing images, partially-focused images, and multi-layered geographical maps. In all experiments the observer is presented with a dynamic gaze-contingent display. As the eyes scan the display, information is processed not just from the point of fixation but from a larger area, called the 'useful field of view' or 'functional visual field'. Various display parameters, e.g. the size, shape, border, and colour of the window, affect the perception and combination of the two image types. Images generated using this new approach are presented and qualitatively compared to other commonly used multi-modality image display methods, such as adjacent display, 'chessboard' display and transparency weighted display.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"265 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123694493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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