2006 9th International Conference on Information Fusion最新文献_第7页

A Data Fusion Formulation for Decentralized Estimation Predictions under Communications Uncertainty 通信不确定性下分散估计预测的数据融合公式

2006 9th International Conference on Information Fusion Pub Date : 2006-07-10 DOI: 10.1109/ICIF.2006.301707

Todd W. Martin, Kuo-Chu Chang

{"title":"A Data Fusion Formulation for Decentralized Estimation Predictions under Communications Uncertainty","authors":"Todd W. Martin, Kuo-Chu Chang","doi":"10.1109/ICIF.2006.301707","DOIUrl":"https://doi.org/10.1109/ICIF.2006.301707","url":null,"abstract":"Uncertainty in communication channel characteristics is a significant factor for data fusion operations in wireless networks. Burst and random errors, message delays, user mobility, and link outages are significant factors that influence data fusion performance. These factors become even more significant in future mobile ad hoc networking environments. To date, however, those factors are not sufficiently addressed by formulations used for modeling and predicting data fusion performance. A stochastic-based fusion formulation that incorporates the effects of non-deterministic behaviors and stochastic communications characteristics is developed and proposed as a method for predicting estimation capabilities. The resulting stochastic fusion equations enable decentralized estimation capabilities to be evaluated in communication networks having non-idealized channel characteristics and ad hoc connectivity. The method is implemented in a simulation model for decentralized estimation in networks with time-varying ad hoc connectivity. The simulation results demonstrate the ability to closely predict expected fusion performance while greatly reducing model complexity and simulation time relative to current techniques. Those findings demonstrate the efficacy of a stochastic fusion formulation for prediction, and extending the approach to a wider range of data fusion domains and techniques is recommended","PeriodicalId":248061,"journal":{"name":"2006 9th International Conference on Information Fusion","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126982615","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: 8

Geo-spatial Tactical Decision Aid systems: fuzzy logic for supporting decision making 地理空间战术决策辅助系统:支持决策的模糊逻辑

2006 9th International Conference on Information Fusion Pub Date : 2006-07-10 DOI: 10.1109/ICIF.2006.301754

R. Grasso, S. Giannecchini

引用次数: 8

Fusion of Information for Sensor Self-Localization by a Monte Carlo Method 基于蒙特卡罗方法的传感器自定位信息融合

2006 9th International Conference on Information Fusion Pub Date : 2006-07-10 DOI: 10.1109/ICIF.2006.301709

M. Vemula, M. Bugallo, P. Djurić

引用次数: 4

Bandwidth-Efficient Target Tracking In Distributed Sensor Networks Using Particle Filters 基于粒子滤波的分布式传感器网络带宽高效目标跟踪

2006 9th International Conference on Information Fusion Pub Date : 2006-07-10 DOI: 10.1109/ICIF.2006.301692

Long Zuo, K. Mehrotra, P. Varshney, C. Mohan

引用次数: 41

Registration of Digital Images 数码图像配准

2006 9th International Conference on Information Fusion Pub Date : 2006-07-10 DOI: 10.1109/ICIF.2006.301619

A. D. Mastio, V. Cappellini

引用次数: 0

Validation Gating for Non-Linear Non-Gaussian Target Tracking 非线性非高斯目标跟踪的验证门控

2006 9th International Conference on Information Fusion Pub Date : 2006-07-10 DOI: 10.1109/ICIF.2006.301597

T. Bailey, B. Upcroft, H. Durrant-Whyte

引用次数: 33

Scanpath Analysis of Fused Multi-Sensor Images with Luminance Change: A Pilot Study 具有亮度变化的融合多传感器图像的扫描路径分析:初步研究

2006 9th International Conference on Information Fusion Pub Date : 2006-07-10 DOI: 10.1109/ICIF.2006.301570

T. D. Dixon, Jian Li, J. Noyes, T. Troscianko, S. G. Nikolov, J. Lewis, E. Canga, D. Bull, C. N. Canagarajah

{"title":"Scanpath Analysis of Fused Multi-Sensor Images with Luminance Change: A Pilot Study","authors":"T. D. Dixon, Jian Li, J. Noyes, T. Troscianko, S. G. Nikolov, J. Lewis, E. Canga, D. Bull, C. N. Canagarajah","doi":"10.1109/ICIF.2006.301570","DOIUrl":"https://doi.org/10.1109/ICIF.2006.301570","url":null,"abstract":"Image fusion is the process of combining images of differing modalities, such as visible and infrared (IR) images. Significant work has recently been carried out comparing methods of fused image assessment, with findings strongly suggesting that a task-centred approach would be beneficial to the assessment process. The current paper reports a pilot study analysing eye movements of participants involved in four tasks. The first and second tasks involved tracking a human figure wearing camouflage clothing walking through thick undergrowth at light and dark luminance levels, whilst the third and fourth task required tracking an individual in a crowd, again at two luminance levels. Participants were shown the original visible and IR images individually, pixel-averaged, contrast pyramid, and dual-tree complex wavelet fused video sequences. They viewed each display and sequence three times to compare inter-subject scanpath variability. This paper describes the initial analysis of the eye-tracking data gathered from the pilot study. These were also compared with computational metric assessment of the image sequences","PeriodicalId":248061,"journal":{"name":"2006 9th International Conference on Information Fusion","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114912001","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: 21

A Model for a Human Decision-Maker in a Command and Control Radar System: Surveillance Tracking of Multiple Targets 指挥控制雷达系统中人的决策模型:多目标监视跟踪

2006 9th International Conference on Information Fusion Pub Date : 2006-07-10 DOI: 10.1109/ICIF.2006.301626

S. Giompapa, A. Farina, F. Gini, A. Graziano, R. D. Stefano

引用次数: 11

Game Theoretic Approach to Threat Prediction and Situation Awareness 威胁预测与态势感知的博弈论方法

2006 9th International Conference on Information Fusion Pub Date : 2006-07-10 DOI: 10.1109/ICIF.2006.301670

Genshe Chen, Dan Shen, C. Kwan, J. B. Cruz, M. Kruger, E. Blasch

{"title":"Game Theoretic Approach to Threat Prediction and Situation Awareness","authors":"Genshe Chen, Dan Shen, C. Kwan, J. B. Cruz, M. Kruger, E. Blasch","doi":"10.1109/ICIF.2006.301670","DOIUrl":"https://doi.org/10.1109/ICIF.2006.301670","url":null,"abstract":"The strategy of data fusion has been applied in threat prediction and situation awareness and the terminology has been standardized by the Joint Directors of Laboratories (JDL) in the form of a so-called JDL data fusion model, which currently called DFIG model. Higher levels of the DFIG model call for prediction of future development and awareness of the development of a situation. It is known that Bayesian network is an insightful approach to determine optimal strategies against asymmetric adversarial opponent. However, it lacks the essential adversarial decision processes perspective. In this paper, a highly innovative data-fusion framework for asymmetric-threat detection and prediction based on advanced knowledge infrastructure and stochastic (Markov) game theory is proposed. In particular, asymmetric and adaptive threats are detected and grouped by intelligent agent and hierarchical entity aggregation in level 2 and their intents are predicted by a decentralized Markov (stochastic) game model with deception in level 3. We have verified that our proposed algorithms are scalable, stable, and perform satisfactorily according to the situation awareness performance metric","PeriodicalId":248061,"journal":{"name":"2006 9th International Conference on Information Fusion","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133694816","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: 145

Continuous Behaviour Knowledge Space For Semantic Indexing of Video Content 面向视频内容语义索引的连续行为知识空间

2006 9th International Conference on Information Fusion Pub Date : 2006-07-10 DOI: 10.1109/ICIF.2006.301568

F. Souvannavong, B. Huet

引用次数: 1