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2007 10th International Conference on Information Fusion最新文献

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Multiple target tracking with asynchronous bearings-only-measurements 多目标跟踪异步方位测量
2007 10th International Conference on Information Fusion Pub Date : 2007-07-09 DOI: 10.1109/ICIF.2007.4408056
T. Hanselmann, M. Morelande
{"title":"Multiple target tracking with asynchronous bearings-only-measurements","authors":"T. Hanselmann, M. Morelande","doi":"10.1109/ICIF.2007.4408056","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408056","url":null,"abstract":"An algorithm for detection and tracking of multiple targets using bearings measurements from several sensors is developed. The algorithm is an implementation of a multiple hypothesis tracker with pruning of unlikely hypotheses. Tracking conditional on each hypothesis can be performed using any suitable filtering approximation. In this paper a range- parameterized unscented Kalman filter is used. Each hypothesis describes a track collection with varying number of targets. Final track estimates are obtained by weighted clustering according to hypothesis probabilities and clustered track states. Simulation experiments include arbitrary setup of multiple targets and multiple moving receiver platforms (sensors). The main results are the asynchronous modeling of measurements arrivals which allows an effective and efficient processing in a Bayesian MHT framework.","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":"130034627","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: 14
A reliability discounting strategy based on plausibility function of evidence 基于证据似然函数的可靠性折现策略
2007 10th International Conference on Information Fusion Pub Date : 2007-07-09 DOI: 10.1109/ICIF.2007.4408097
Cheng Zeng, Pinghui Wu
{"title":"A reliability discounting strategy based on plausibility function of evidence","authors":"Cheng Zeng, Pinghui Wu","doi":"10.1109/ICIF.2007.4408097","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408097","url":null,"abstract":"Evidence gathered from different sources may have different reliabilities. Such reliability should be integrated into corresponding evidence model to make the evidence combination result rational. In this paper, a novel discounting strategy is developed for the integration of evidence's model and reliability. Dissimilar to the current one based on BPA, this strategy discounts the evidence's plausibility function with power rather than discounts BPA function with coefficient. It can alter the evidence's belief mass as well as its core simultaneously and hereby is more suitable for the discounting of evidence with unreliable core than the one based on BPA function. Furthermore, this new strategy is in some sense a linear discounting strategy which reduces the maximum possible support degree for each atomic proposition with an amount proportional to discount percent. Finally, two examples are presented to demonstrate the characteristics of the proposed discounting strategy.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"4 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":"129674622","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: 10
An object oriented development suite for data fusion: Design, generation, simulation and testing 面向对象的数据融合开发套件:设计、生成、仿真和测试
2007 10th International Conference on Information Fusion Pub Date : 2007-07-09 DOI: 10.1109/ICIF.2007.4408014
Kaeye Dästner, T. Kausch, F. Opitz
{"title":"An object oriented development suite for data fusion: Design, generation, simulation and testing","authors":"Kaeye Dästner, T. Kausch, F. Opitz","doi":"10.1109/ICIF.2007.4408014","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408014","url":null,"abstract":"An new object oriented development suite for data fusion is presented. It is shown how the various issues in the data fusion development like design, implementation, simulation and testing are realised and automated by this development suite. This allows the realisation of high sophisticated data fusion systems as applied in numerous civil and defence areas, like air traffic or satellite orbit control, coastal surveillance, air defence systems or more generally combat or battle management systems. The approach supports the design of multi layer data fusion systems with centralised, decentralised or hybrid architecture integrating numerous different information sources. Besides of the generation of an object oriented data fusion kernel the developer is also supported in rapid prototyping just at the beginning of the developing process. Further the final software and system testing and verification within a simulated and real environment is taken into account. Functionally, the data fusion development described in this paper includes the tracking, classification and identification topic. This enables a complete data fusion development in accordance with different industry or governmental standards.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"35 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":"129477591","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
Target existence based resource allocation 基于目标存在的资源分配
2007 10th International Conference on Information Fusion Pub Date : 2007-07-09 DOI: 10.1109/ICIF.2007.4408046
D. Musicki
{"title":"Target existence based resource allocation","authors":"D. Musicki","doi":"10.1109/ICIF.2007.4408046","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408046","url":null,"abstract":"Assume an ESA (electronically steered antenna) radar. In between the surveillance mode operations (where the radar completes one scan of the surveillance area), this radar has spare time for (at least one) additional mode which could be optimized for various special requirements. The optimization is often translated to the choice of the next track to update. In this paper we propose a resource allocation scheme designed to minimize the time to confirmation of tracks following new targets, as well as to minimize the time to terminate tracks whose targets are lost or have disappeared from the view. The resource allocation cost is a function of the probability of target existence of individual tracks. Simulation results show that resource allocation based on this cost significantly increases the number of targets that can be reliably tracked in the sense of them being quickly followed by confirmed tracks upon arrival, and of their tracks being quickly terminated when the targets themselves disappear. The penalty of this approach is an increase in the root mean square target trajectory estimation errors of confirmed true tracks, as they are not updated as often.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"78 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":"129884802","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: 7
Data fusion for the management of multimedia documents 用于多媒体文档管理的数据融合
2007 10th International Conference on Information Fusion Pub Date : 2007-07-09 DOI: 10.1109/ICIF.2007.4408082
F. Deloule, P. Lambert, Daniel Beauchêne, B. Ionescu
{"title":"Data fusion for the management of multimedia documents","authors":"F. Deloule, P. Lambert, Daniel Beauchêne, B. Ionescu","doi":"10.1109/ICIF.2007.4408082","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408082","url":null,"abstract":"Multimedia documents are increasingly numerous. Their efficient management requires tools to provide services that measure up to users' expectations, based on the contents of these voluminous document databases. This implies a number of challenges. Although we can extract highly symbolic concepts from texts, a wide semantic gap appears when processing images and sound. Thus, we propose using data fusion to capture the semantic field of the elements extracted from these media. On the other hand, if creating ontology makes it possible to manage the concept of \"trade\" in texts, additional data can be exploited from document contents. In the first instance, we suggest bringing together concepts and words through data fusion.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"46 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":"130194160","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: 7
Real-time physical activity monitoring by data fusion in body sensor networks 基于数据融合的身体传感器网络实时监测
2007 10th International Conference on Information Fusion Pub Date : 2007-07-09 DOI: 10.1109/ICIF.2007.4408176
Liang Dong, Jian-Kang Wu, Xiang Chen
{"title":"Real-time physical activity monitoring by data fusion in body sensor networks","authors":"Liang Dong, Jian-Kang Wu, Xiang Chen","doi":"10.1109/ICIF.2007.4408176","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408176","url":null,"abstract":"A physical activity monitoring system by data fusion in body sensor networks is presented in this paper, which targets at providing body status information in real time and identifying body activities. By fusion of data collected from several accelerometer sensors placed on different parts of the body, the activities can be identified and tracked Mathematical approaches employed in the system include Kalman filter and hidden Markov model. With the proposed system architecture, these algorithms are distributed to different components of the system. The proposed system is applied to monitoring and identifying daily activities in laboratory and comparatively intensive activities in a gym room. Video-based approach is used as the benchmark to evaluate its performance. Comparative results indicate that, by using the proposed system, body status of daily activities can be estimated with good accuracy in real time, and body activity is identified with high accuracy within short system latency.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"32 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":"130229384","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: 22
The application of information fusion in the real-time monitoring system 信息融合在实时监控系统中的应用
2007 10th International Conference on Information Fusion Pub Date : 2007-07-09 DOI: 10.1109/ICIF.2007.4407992
Wang Chen, M. Zhenjiang, Meng Xiao
{"title":"The application of information fusion in the real-time monitoring system","authors":"Wang Chen, M. Zhenjiang, Meng Xiao","doi":"10.1109/ICIF.2007.4407992","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4407992","url":null,"abstract":"This paper studies the feasibility of information analysis processing technology, which fuses speech and image together in the real-time monitoring system. It emphasizes particularly on speech analysis and fuses these two technologies in terms of scoring strategy. It also makes some improvement on MFCC feature extraction and proposes a quick MFCC algorithm. The proposed algorithm can reach the requirement of real-time system in case of the high precision. To prove it, this paper compares its algorithm with LPC and FFT. The experiment indicates that the EER of LPC is 13.9% and the EER of FFT is 11.1%, but by using the Quick MFCC the EER is only 4.2%. And compared with the traditional MFCC algorithm, the quick MFCC algorithm reduces the run time greatly while maintaining recognition accuracy of the system. Finally the rate of fusion recognition is about 97.8%, which is a good result for the real-time monitoring system.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"26 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":"116207375","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
An information gain driven search for a radioactive point source 信息增益驱动的放射性点源搜索
2007 10th International Conference on Information Fusion Pub Date : 2007-07-09 DOI: 10.1109/ICIF.2007.4408041
B. Ristic, A. Gunatilaka, M. Rutten
{"title":"An information gain driven search for a radioactive point source","authors":"B. Ristic, A. Gunatilaka, M. Rutten","doi":"10.1109/ICIF.2007.4408041","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408041","url":null,"abstract":"The paper presents an algorithm for detection and a subsequent information gain driven search for an unaccounted point source of relatively low-level gamma radiation. Source detection and parameter estimation are carried out jointly in the Bayesian framework using a particle filter. The observer control vector consists of the next sensor location and the exposure time. During the pre-detection search, the control vectors take predefined values. After detection, the optimal control vector is selected via a multiple-step ahead maximisation of the Fisher information gain.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"298 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":"122520970","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: 16
High Level data fusion system for CanCoastWatch CanCoastWatch的高级数据融合系统
2007 10th International Conference on Information Fusion Pub Date : 2007-07-09 DOI: 10.1109/ICIF.2007.4408126
Zhenhua Li, P. Valin, H. Leung, H. Wehn
{"title":"High Level data fusion system for CanCoastWatch","authors":"Zhenhua Li, P. Valin, H. Leung, H. Wehn","doi":"10.1109/ICIF.2007.4408126","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408126","url":null,"abstract":"In this paper, a goal-driven net-enabled distributed data fusion system is described for CanCoastWatch (CCW) project. Multiple sensors are deployed and managed to achieve the goals of situation assessment using a net-enabled architecture. The local tracks reported by multiple sensors are first integrated into global tracks. Decision making is then performed on basic sub-goals that can be directly derived from the fused global tracks. Finally, a goal-driven rule-based expert system uses the basic sub-goal decisions for goal reasoning.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"106 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":"124153484","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: 23
The mixed labeling problem in multi target particle filtering 多目标粒子滤波中的混合标记问题
2007 10th International Conference on Information Fusion Pub Date : 2007-07-09 DOI: 10.1109/ICIF.2007.4408005
Y. Boers, H. Driessen
{"title":"The mixed labeling problem in multi target particle filtering","authors":"Y. Boers, H. Driessen","doi":"10.1109/ICIF.2007.4408005","DOIUrl":"https://doi.org/10.1109/ICIF.2007.4408005","url":null,"abstract":"In this paper the so called mixed labeling problem inherent, or at least thought to be inherent to a joint state multi target particle filter implementation is treated. The mixed labeling problem would be prohibitive for track extraction from a joint state multi target particle filter. It is shown and proven using the theory of Markov chains, that the mixed labeling problem is inherently self-resolving in a particle filter. It is also shown that the factors influencing this capability are the number of particles and the number of resampling steps.","PeriodicalId":298941,"journal":{"name":"2007 10th International Conference on Information Fusion","volume":"29 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":"126828779","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: 24
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