2010 13th International Conference on Information Fusion最新文献_第5页

A joint approach to shape-based human tracking and behavior analysis 基于形状的人体跟踪与行为分析的联合方法

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711856

Francesco Monti, C. Regazzoni

引用次数: 2

Empty set biasing issues in the Transferable Belief Model for fusing and decision making 可转移信念模型在融合与决策中的空集偏差问题

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711935

G. Powell, Matthew Roberts, A. D. Marshall

引用次数: 2

Marked Multitarget Intensity Filters 标记多目标强度过滤器

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711924

R. Streit

引用次数: 3

Feature-based image fusion scheme for satellite recognition 基于特征的图像融合卫星识别方案

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712006

Han Pan, G. Xiao, Zhongliang Jing

引用次数: 4

Information fusion supporting team situation awareness for future fighting aircraft 未来作战飞机的信息融合支持团队态势感知

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712064

Tina Erlandsson, Tove Helldin, G. Falkman, L. Niklasson

引用次数: 17

Kalman filtering for compressed sensing 压缩感知中的卡尔曼滤波

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711877

D. Kanevsky, Avishy Carmi, L. Horesh, P. Gurfil, B. Ramabhadran, Tara N. Sainath

引用次数: 28

A situation analysis toolbox: Application to coastal and offshore surveillance 态势分析工具箱:在沿海和近海监视中的应用

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711888

P. Maupin, A. Jousselme, H. Wehn, Snezana Mitrovic-Minic, J. Happe

引用次数: 9

A new algorithm for outlier rejection in particle filters 粒子滤波中异常值抑制的新算法

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712014

Rohit Kumar, D. Castañón, E. Ermis, Venkatesh Saligrama

引用次数: 11

Image fusion for human observers: How should we choose the method? 人类观察者的图像融合:我们应该如何选择方法?

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711838

M. Loew, James Bonick, C. Walters

{"title":"Image fusion for human observers: How should we choose the method?","authors":"M. Loew, James Bonick, C. Walters","doi":"10.1109/ICIF.2010.5711838","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5711838","url":null,"abstract":"Image fusion is used to improve target detection and identification. In human-observer applications it is useful to rank fusion methods according to how well they assist the observer in a decision task. Two images (medium- and long-wave infrared), acquired for each of a number of outdoor scenes, were fused by each of nine methods. For each scene, a set of observers assessed each of the 36 pairwise combinations of fused images, choosing from each pair the one that was deemed best for target identification. We used that set of preferences to rank the fusion methods for their effectiveness in the identification task. A classical technique for ranking these “discriminal processes” is Thurstone's Law of Comparative Judgment and its implementation as the Thurstone-Mosteller (TM) Method of Paired Comparisons, which is reviewed briefly here. To make meaningful statements about preferences, one should have a measure of uncertainty for each rank. The TM method, however, cannot readily provide such a measure. An alternative, the Bradley-Terry (BT) method, does permit calculation of confidence intervals for ranks. To our knowledge, BT has not previously been applied in the evaluation of fusion methods. We present results from a multi-observer, multi-view trial, evaluated using TM and BT. The methods yield similar rankings of the fusion methods. But the additional information provided by BT - that is, whether there are significant differences between the ranks - can have a substantial impact on the implementation of fusion in real systems. There could be meaningful tradeoffs among fusion methods - e.g., performance vs. computation time - that may not be exploited in the absence of those insights.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122497706","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}

引用次数: 0

High-level fusion: Issues in developing a formal theory 高级融合:发展形式化理论的问题

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711860

P. Costa, Kuo-Chu Chang, Kathryn B. Laskey, T. Levitt, Wei Sun

{"title":"High-level fusion: Issues in developing a formal theory","authors":"P. Costa, Kuo-Chu Chang, Kathryn B. Laskey, T. Levitt, Wei Sun","doi":"10.1109/ICIF.2010.5711860","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5711860","url":null,"abstract":"Network-centric operations demand an increasingly sophisticated level of interoperation and information fusion for an escalating number and throughput of sensors and human processes. The resulting complexity of the systems being developed to face this environment render lower level fusion techniques alone simply insufficient to ensure interoperability, as they fail to consider subtle, but critical, aspects inherent in knowledge interchange. A fundamental mathematical theory of high-level information fusion is needed to address (1) the representation of semantics and pragmatics, (2) the mathematical framework supporting its algorithmic and computing processes, and (3) scalability of products such as common and user-defined operational pictures. We argue that there is no silver bullet for addressing these elements, and therefore any successful approach to the problem of high-level fusion must be systemic. In this paper, we propose the development of mathematical foundations that systemically address this problem from a decision theoretic perspective, and might seed the development of such fundamental theory. As a case study illustrating these techniques we present our current development of PROGNOS, a HLF system focused on the maritime domain.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131295241","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}

引用次数: 19