中国科学院机构知识库网格系统: 检索

Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks 期刊论文 OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 638-648
作者: Xiaoting Du; Lei Zou; Maiying Zhong

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收藏 | 浏览/下载：15/0 | 提交时间：2024/02/19

Dynamic event-triggered mechanism (DETM) fault estimation nonlinear time-varying complex networks set-membership filtering unknown input observer

Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication: Progress, Insights and Trends 期刊论文 OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1539-1556
作者: Weihao Song; Zidong Wang; Zhongkui Li; Jianan Wang; Qing-Long Han

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收藏 | 浏览/下载：10/0 | 提交时间：2024/06/07

Communication constraints maximum correntropy filter networked nonlinear filtering particle filter sample-based approximation unscented Kalman filter

An Efficient Numerical Algorithm for Solving Data Driven Feedback Control Problems 期刊论文 OAI收割
JOURNAL OF SCIENTIFIC COMPUTING, 2020, 卷号: 85, 期号: 2, 页码: 27
作者: Archibald, Richard; Bao, Feng; Yong, Jiongmin; Zhou, Tao

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收藏 | 浏览/下载：40/0 | 提交时间：2021/01/14

Stochastic optimal control Nonlinear filtering Data driven Maximum principle Stochastic optimization

Major Development Under Gaussian Filtering Since Unscented Kalman Filter 期刊论文 OAI收割
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1308-1325
作者: Abhinoy Kumar Singh

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收藏 | 浏览/下载：21/0 | 提交时间：2021/03/11

Bayesian framework cubature rule-based filtering Gaussian filters Gaussian sum and square-root filtering nonlinear filtering quadrature rule-based filtering unscented transformation

Rolling bilateral filter-based text image deblurring 期刊论文 OAI收割
The Visual Computer, 2018, 卷号: 0, 页码: 2019-01-14
作者: Yang, Hang; Zhang, Zhongbo; Guan, Yujing

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收藏 | 浏览/下载：14/0 | 提交时间：2019/09/17

Image enhancement Bandpass filters Discrete cosine transforms Image texture Iterative methods Nonlinear filtering Optical transfer function

基于物体识别与信息融合的毒品网页分类研究 学位论文 OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2014
作者: 胡瑞光

收藏 | 浏览/下载：76/0 | 提交时间：2015/09/02

吸毒工具大麻显著性驱动非线性扩散滤波毒品网页多示例学习多模态信息融合 Drug-taking instruments Cannabis Saliency driven nonlinear diffusion filtering Drug web pages Multi-instance learning Multi-modal information fusion

Generating high spatiotemporal resolution land surface temperature for urban heat island monitoring EI期刊论文 OAI收割
2013
Huang Bo; Wang Juan; Song Huihui; Fu Dongjie; Wong Kwankit

收藏 | 浏览/下载：37/0 | 提交时间：2014/12/31

Atmospheric temperature Image fusion Light reflection Nonlinear filtering Radiometers Satellite imagery

Adaptive unscented Kalman filters applied to visual tracking 会议论文 OAI收割
2012 IEEE International Conference on Information and Automation, ICIA 2012, Shenyang, China, June 6, 2012 - June 8, 2012
作者: Ding QC(丁其川); Zhao XG(赵新刚); Han JD(韩建达)

收藏 | 浏览/下载：24/0 | 提交时间：2012/10/24

Estimation Nonlinear filtering Tracking (position)

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：59/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

stroke extraction in cartoon images using edge-enhanced isotropic nonlinear filter 会议论文 OAI收割
9th ACM SIGGRAPH International Conference on VR Continuum and Its Applications in Industry, VRCAI 2010, Seoul, Korea, Republic of, 40878
Huang Mengcheng; Yang Meng; Liuy Fang; Wuz En-Hua

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收藏 | 浏览/下载：82/0 | 提交时间：2011/03/31

Algorithms Gaussian distribution Interactive computer graphics Laplace transforms Nonlinear filtering