2010 13th International Conference on Information Fusion最新文献_第9页

Benchmarking knowledge-assisted kriging for automated spatial interpolation of wind measurements 基准知识辅助克里格自动空间插值风测量

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711918

Z. Zlatev, S. Middleton, G. Veres

引用次数: 7

Bounding linearization errors with sets of densities in approximate Kalman filtering 近似卡尔曼滤波中密度集的边界线性化误差

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711909

B. Noack, Vesa Klumpp, N. Petkov, U. Hanebeck

引用次数: 10

A new multi-target state estimation algorithm for PHD particle filter 一种新的PHD粒子滤波多目标状态估计算法

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711923

Lingling Zhao, Peijun Ma, Xiaohong Su, Hongtao Zhang

引用次数: 22

Joint identification and tracking of multiple CBRNE clouds based on sparsity pursuit 基于稀疏度追踪的多CBRNE云联合识别与跟踪

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711849

Huimin Chen, X. Li

{"title":"Joint identification and tracking of multiple CBRNE clouds based on sparsity pursuit","authors":"Huimin Chen, X. Li","doi":"10.1109/ICIF.2010.5711849","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5711849","url":null,"abstract":"The evolution of chemical, biological, radiological, nuclear and explosive (CBRNE) clouds depends considerably on its composition. For example, cloud tracking usually relies on a diffusion model of the average atmospheric concentration of the CBRNE material; identification of its composition can benefit greatly from knowledge about the propagation of the compounds. As a result, substance classification and cloud tracking help each other significantly. However, few research efforts consider joint identification and tracking of CBRNE clouds using a network of possibly heterogeneous sensors. This paper deals with such joint identification and tracking. We assume that the chemical composition has a sparse representation in the Raman spectra with a reference library and apply a sparsity pursuit algorithm to adaptively refine the cloud propagation model based on the estimated composition. We demonstrate the benefit of joint identification and tracking of the aggregated clouds when individual substance has a different diffusion coefficient. The results also provide guidelines for selecting an appropriate sensor combination to accurately predict the cloud boundary.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"1 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":"133096110","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: 1

Support-vector conditional density estimation for nonlinear filtering 非线性滤波的支持向量条件密度估计

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712088

P. Krauthausen, Marco F. Huber, U. Hanebeck

引用次数: 4

Human silhouette volume reconstruction using a gravity-based virtual camera network 基于重力的虚拟摄像机网络人体轮廓体重建

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712109

H. Aliakbarpour, J. Dias

{"title":"Human silhouette volume reconstruction using a gravity-based virtual camera network","authors":"H. Aliakbarpour, J. Dias","doi":"10.1109/ICIF.2010.5712109","DOIUrl":"https://doi.org/10.1109/ICIF.2010.5712109","url":null,"abstract":"The article represents a method to perform the Shape From Silhouette (SFS) of human, based on gravity sensing. A network of cameras is used to observe the scene. The extrinsic parameters among the cameras are initially unknown. An IMU is rigidly coupled to each camera in order to provide gravity and magnetic data. By applying a data fusion between each camera and its coupled IMU, it becomes possible to consider a downward-looking virtual camera for each camera within the network. Then extrinsic parameters among virtual cameras are estimated using the heights of two 3D points with respect to one camera within the network. Registered 2D points on the image plane of each camera is reprojected to its virtual camera image plane, using the concept of infinite homography. Such a virtual image plane is horizontal with a normal parallel to the gravity. The 2D points from the virtual image planes are back-projected onto the 3D space in order to make conic volumes of the observed object. From intersection of the created conic volumes from all cameras, the silhouette volume of the object is obtained. The experimental results validate both feasibility and effectiveness of the proposed method.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"47 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":"122504609","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: 11

Implementation of approximations of belief functions for fusion of ESM reports within the DSm framework 在DSm框架内实现ESM报告融合的近似置信函数

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712074

Pascal Djiknavorian, P. Valin, Dominic Grenier

引用次数: 3

Distributed information fusion filter with intermittent observations 具有间歇观测的分布式信息融合滤波器

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711988

D. Kim, J. Yoon, Young Hoon Kim, V. Shin

引用次数: 8

Tracking with multisensor out-of-sequence measurements with residual biases 带有残差的多传感器乱序测量跟踪

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5711960

Shuo Zhang, Y. Bar-Shalom, G. Watson

引用次数: 21

2D Location estimation of angle-only sensor arrays using targets of opportunity 利用机会目标的纯角度传感器阵列的二维位置估计

2010 13th International Conference on Information Fusion Pub Date : 2010-07-26 DOI: 10.1109/ICIF.2010.5712003

D. Crouse, R. Osborne, K. Pattipati, P. Willett, Y. Bar-Shalom

引用次数: 7