Pub Date : 2007-07-09DOI: 10.1109/ICIF.2007.4407969
W. L. Roux, J. J. Nel, A. Steinberg
A technique is proposed to extract system requirements for a maritime area surveillance system, based on an activity recognition framework originally intended for the characterisation, prediction and recognition of intentional actions for threat recognition. To illustrate its utility, a single use case is used in conjunction with the framework to solicit surveillance system requirements.
{"title":"Using a data fusion-based activity recognition framework to determine Surveillance System Requirements","authors":"W. L. Roux, J. J. Nel, A. Steinberg","doi":"10.1109/ICIF.2007.4407969","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4407969","url":null,"abstract":"A technique is proposed to extract system requirements for a maritime area surveillance system, based on an activity recognition framework originally intended for the characterisation, prediction and recognition of intentional actions for threat recognition. To illustrate its utility, a single use case is used in conjunction with the framework to solicit surveillance system requirements.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116388072","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408037
Michael Beard, S. Arulampalam
In multi-sensor multi-target bearings-only tracking we often see false intersections of bearings known as ghosts. When the bearing measurements from each sensor have been associated to form sequences termed threads, the problem is to associate pairs of threads to identify the true target intersections. In this paper we present two algorithms: (i) classical bayesian thread association (CBTA) and (ii) Monte Carlo thread association (MCTA), for this problem. The performance of these algorithms is compared using Monte Carlo simulations. Furthermore, we also compare their performance against the Rao-Blackwellised Monte Carlo Data Association (RBMCDA) algorithm, which uses unthreaded measurements, in order to ascertain the benefits of using thread information. Simulations show that MCTA is superior to CBTA, and that there is significant benefit in using thread information in this class of problems.
{"title":"Comparison of data association algorithms for bearings-only multi-sensor multi-target tracking","authors":"Michael Beard, S. Arulampalam","doi":"10.1109/ICIF.2007.4408037","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408037","url":null,"abstract":"In multi-sensor multi-target bearings-only tracking we often see false intersections of bearings known as ghosts. When the bearing measurements from each sensor have been associated to form sequences termed threads, the problem is to associate pairs of threads to identify the true target intersections. In this paper we present two algorithms: (i) classical bayesian thread association (CBTA) and (ii) Monte Carlo thread association (MCTA), for this problem. The performance of these algorithms is compared using Monte Carlo simulations. Furthermore, we also compare their performance against the Rao-Blackwellised Monte Carlo Data Association (RBMCDA) algorithm, which uses unthreaded measurements, in order to ascertain the benefits of using thread information. Simulations show that MCTA is superior to CBTA, and that there is significant benefit in using thread information in this class of problems.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123992053","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408199
J. Secker, P. Vachon
The simultaneous exploitation of multi- sensor imagery for geospatial intelligence applications is a challenging problem, and Image Analysts would benefit from tools that introduce automation and fusion into the exploitation process in a suitable manner. These tools should take advantage of the human cognitive ability to fuse and assimilate multiple sources and types of information; image fusion tools should be judged successful if they trigger new insight for the Image Analyst. This paper describes some relatively- simple methods for the exploitation of synthetic aperture radar (SAR) and electro-optical (EO) commercial satellite imagery, with a focus on their integration into the geospatial intelligence workflow. Two examples of multi-temporal satellite imagery products produced by a DRDC Ottawa test-bed system, Image Analyst Pro, are presented. It is demonstrated that a high-resolution panchromatic EO image colourized by a SAR-derived degree of change is an effective intelligence product
{"title":"Exploitation of multi-temporal SAR and EO satellite imagery for geospatial intelligence","authors":"J. Secker, P. Vachon","doi":"10.1109/ICIF.2007.4408199","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408199","url":null,"abstract":"The simultaneous exploitation of multi- sensor imagery for geospatial intelligence applications is a challenging problem, and Image Analysts would benefit from tools that introduce automation and fusion into the exploitation process in a suitable manner. These tools should take advantage of the human cognitive ability to fuse and assimilate multiple sources and types of information; image fusion tools should be judged successful if they trigger new insight for the Image Analyst. This paper describes some relatively- simple methods for the exploitation of synthetic aperture radar (SAR) and electro-optical (EO) commercial satellite imagery, with a focus on their integration into the geospatial intelligence workflow. Two examples of multi-temporal satellite imagery products produced by a DRDC Ottawa test-bed system, Image Analyst Pro, are presented. It is demonstrated that a high-resolution panchromatic EO image colourized by a SAR-derived degree of change is an effective intelligence product","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124098398","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408210
D. Lambert
When designing a higher-level fusion system the designer must choose between options, and in doing so confronts a number of tradeoffs. This paper outlines some of those options and the tradeoffs that those options involve.
{"title":"Tradeoffs in the design of higher-level fusion systems","authors":"D. Lambert","doi":"10.1109/ICIF.2007.4408210","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408210","url":null,"abstract":"When designing a higher-level fusion system the designer must choose between options, and in doing so confronts a number of tradeoffs. This paper outlines some of those options and the tradeoffs that those options involve.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124697167","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408073
J. Blind, S. Das
In this paper we present an application that utilizes a novel two-level fusion architecture to detect and track disease outbreaks across public health system databases. In the first fusion level, collected data is used to detect and track indicative bio-events using latent semantic analysis and unsupervised clustering. In the second fusion level, clusters produced via the first are used to feed dynamic Bayesian networks which assess outbreak type and state. We train and test our system using data from a 200K+ free-text emergency department (ED) chief complaint record set.
{"title":"Disease outbreak detection and tracking for biosurveillance: a data fusion approach","authors":"J. Blind, S. Das","doi":"10.1109/ICIF.2007.4408073","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408073","url":null,"abstract":"In this paper we present an application that utilizes a novel two-level fusion architecture to detect and track disease outbreaks across public health system databases. In the first fusion level, collected data is used to detect and track indicative bio-events using latent semantic analysis and unsupervised clustering. In the second fusion level, clusters produced via the first are used to feed dynamic Bayesian networks which assess outbreak type and state. We train and test our system using data from a 200K+ free-text emergency department (ED) chief complaint record set.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124828339","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4407993
Ming Lei, Chongzhao Han, Panzhi Liu
A novel method involved the time-varying tracking model under the nonlinear state-space evolved system is presented, in which the expectation-maximization (EM) algorithm is used to identify the state transition matrix f and the process noise covariance Q online. The typical maneuvering models, as described, essentially, are prior models and use fixed and constant evolved matrix and designed noise level for whole filtering procedure. Actually, the motion of target is always too complicated to be prior modeled as a fixed form, meanwhile, Q used to reflect the mis-match error between the mathematic model and the actual maneuvering mode, thus is time-varying and severely influenced by the environment around the target. Therefore, the prior f and Q can not characterize the maneuvering mode exactly, hence, by assumption that the state evolution and the likelihood of measurements data can be represented by Gaussian distribution, the method of identifying f and Q online is developed. Comparing with the standard IMM filtering, Monte Carlo simulations show that the proposed algorithm is efficient and filtering precision can be improved to some extent.
{"title":"Expectation Maximization (EM) algorithm-based nonlinear target tracking with adaptive state transition matrix and noise covariance","authors":"Ming Lei, Chongzhao Han, Panzhi Liu","doi":"10.1109/ICIF.2007.4407993","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4407993","url":null,"abstract":"A novel method involved the time-varying tracking model under the nonlinear state-space evolved system is presented, in which the expectation-maximization (EM) algorithm is used to identify the state transition matrix f and the process noise covariance Q online. The typical maneuvering models, as described, essentially, are prior models and use fixed and constant evolved matrix and designed noise level for whole filtering procedure. Actually, the motion of target is always too complicated to be prior modeled as a fixed form, meanwhile, Q used to reflect the mis-match error between the mathematic model and the actual maneuvering mode, thus is time-varying and severely influenced by the environment around the target. Therefore, the prior f and Q can not characterize the maneuvering mode exactly, hence, by assumption that the state evolution and the likelihood of measurements data can be represented by Gaussian distribution, the method of identifying f and Q online is developed. Comparing with the standard IMM filtering, Monte Carlo simulations show that the proposed algorithm is efficient and filtering precision can be improved to some extent.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125021879","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408007
Arnaud Martin, C. Osswald
We present and discuss a mixed conjunctive and disjunctive rule, a generalization of conflict repartition rules, and a combination of these two rules. In the belief functions theory one of the major problem is the conflict repartition enlightened by the famous Zadeh's example. To date, many combination rules have been proposed in order to solve a solution to this problem. Moreover, it can be important to consider the specificity of the responses of the experts. Since few year some unification rules are proposed. We have shown in our previous works the interest of the proportional conflict redistribution rule. We propose here a mixed combination rule following the proportional conflict redistribution rule modified by a discounting procedure. This rule generalizes many combination rules.
{"title":"Toward a combination rule to deal with partial conflict and specificity in belief functions theory","authors":"Arnaud Martin, C. Osswald","doi":"10.1109/ICIF.2007.4408007","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408007","url":null,"abstract":"We present and discuss a mixed conjunctive and disjunctive rule, a generalization of conflict repartition rules, and a combination of these two rules. In the belief functions theory one of the major problem is the conflict repartition enlightened by the famous Zadeh's example. To date, many combination rules have been proposed in order to solve a solution to this problem. Moreover, it can be important to consider the specificity of the responses of the experts. Since few year some unification rules are proposed. We have shown in our previous works the interest of the proportional conflict redistribution rule. We propose here a mixed combination rule following the proportional conflict redistribution rule modified by a discounting procedure. This rule generalizes many combination rules.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128701382","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408068
Yingxuan Zhu, P. Varshney, Hao Chen
Hyperspectral imaging is becoming increasingly important in a variety of applications. These images contain a large number of contiguous bands to provide information at a fine spectral resolution and, therefore, cannot be displayed directly using an RGB color display. There has been some recent work on the problem of fusing hyperspectral images to three-band images for color display purposes. In this paper, we evaluate the performance of our recently proposed approach based on independent component analysis, correlation coefficient and mutual information (ICA- CCMI) to fuse the information from a large number of bands to three images suitable for color display. Depending on whether the reference images are available or not, several image quality metrics such as entropy and edge correlation have been proposed and employed to evaluate the fusion performance via three widely used hyperspectral image datasets.
{"title":"Evaluation of ICA based fusion of hyperspectral images for color display","authors":"Yingxuan Zhu, P. Varshney, Hao Chen","doi":"10.1109/ICIF.2007.4408068","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408068","url":null,"abstract":"Hyperspectral imaging is becoming increasingly important in a variety of applications. These images contain a large number of contiguous bands to provide information at a fine spectral resolution and, therefore, cannot be displayed directly using an RGB color display. There has been some recent work on the problem of fusing hyperspectral images to three-band images for color display purposes. In this paper, we evaluate the performance of our recently proposed approach based on independent component analysis, correlation coefficient and mutual information (ICA- CCMI) to fuse the information from a large number of bands to three images suitable for color display. Depending on whether the reference images are available or not, several image quality metrics such as entropy and edge correlation have been proposed and employed to evaluate the fusion performance via three widely used hyperspectral image datasets.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128749380","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408083
G. Vincenti, G. Trajkovski
This paper presents an innovative approach to the field of information fusion. Fuzzy mediation differentiates itself from other algorithms, as this approach is dynamic in nature. The experiments reported in this work analyze the interaction of two distinct controllers as they try to maneuver an artificial agent through a path. Fuzzy mediation functions as fusion engine to integrate the two inputs to produce a single output. Results show that fuzzy mediation is a valid method to mediate between two distinct controllers. The work reported in this article lays the foundation for the creation of an effective tool that uses positive feedback systems instead of negative ones to train human and non-human agents in the performance of control tasks.
{"title":"Fuzzy Mediation as a Dynamic Extension to Information Fusion","authors":"G. Vincenti, G. Trajkovski","doi":"10.1109/ICIF.2007.4408083","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408083","url":null,"abstract":"This paper presents an innovative approach to the field of information fusion. Fuzzy mediation differentiates itself from other algorithms, as this approach is dynamic in nature. The experiments reported in this work analyze the interaction of two distinct controllers as they try to maneuver an artificial agent through a path. Fuzzy mediation functions as fusion engine to integrate the two inputs to produce a single output. Results show that fuzzy mediation is a valid method to mediate between two distinct controllers. The work reported in this article lays the foundation for the creation of an effective tool that uses positive feedback systems instead of negative ones to train human and non-human agents in the performance of control tasks.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129677950","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 : 2007-07-09DOI: 10.1109/ICIF.2007.4408062
M. Florea, É. Bossé
A crucial point in the decision-level identity fusion is to combine information in an appropriate way to generate an optimal decision, according to the individual information coming from a set of different sensors. An interesting approach was developed for the decision- level identity fusion, which use optimization techniques to minimize an objective function which measure the dissimilarities between the combination result and the set of initial sensor reports. Several objective functions were already proposed for the similar sensor fusion (SSF) and the dissimilar sensor fusion (DSF) models. In this paper, we present these fusion methods, we raise some questions and make some improvements, and finally we study the behaviour of these fusion rules on several examples.
{"title":"Critiques on some combination rules for probability theory based on optimization techniques","authors":"M. Florea, É. Bossé","doi":"10.1109/ICIF.2007.4408062","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408062","url":null,"abstract":"A crucial point in the decision-level identity fusion is to combine information in an appropriate way to generate an optimal decision, according to the individual information coming from a set of different sensors. An interesting approach was developed for the decision- level identity fusion, which use optimization techniques to minimize an objective function which measure the dissimilarities between the combination result and the set of initial sensor reports. Several objective functions were already proposed for the similar sensor fusion (SSF) and the dissimilar sensor fusion (DSF) models. In this paper, we present these fusion methods, we raise some questions and make some improvements, and finally we study the behaviour of these fusion rules on several examples.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125565301","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：